Triple
T13602941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meet Joe Black |
E324987
|
entity |
| Predicate | notableCastRole |
P64828
|
FINISHED |
| Object |
Anthony Hopkins as William Parrish
Anthony Hopkins as William Parrish is the distinguished, aging media tycoon whose confrontation with mortality and mysterious visitor Joe Black drives the emotional core of the film "Meet Joe Black."
|
E1050031
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Anthony Hopkins as William Parrish | Statement: [Meet Joe Black, notableCastRole, Anthony Hopkins as William Parrish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anthony Hopkins as William Parrish Context triple: [Meet Joe Black, notableCastRole, Anthony Hopkins as William Parrish]
-
A.
Anthony Hopkins as Stevens
Anthony Hopkins as Stevens is the restrained, duty-obsessed English butler whose emotional repression and unwavering loyalty define the poignant core of the film "The Remains of the Day."
-
B.
Bruce Dern as Asa Watts
Bruce Dern as Asa Watts is the actor’s memorable portrayal of the ruthless cattle thief and primary antagonist in the 1972 Western film "The Cowboys."
-
C.
Michael Caine as Dr. Robert Elliott
Michael Caine as Dr. Robert Elliott is the central, psychologically complex psychiatrist character he portrays in Brian De Palma’s 1980 thriller film "Dressed to Kill."
-
D.
Clint Eastwood as Philo Beddoe
Clint Eastwood as Philo Beddoe is the tough but easygoing trucker and bare-knuckle brawler, often accompanied by his pet orangutan Clyde, in the comedic action films of the late 1970s and early 1980s.
-
E.
Michael Caine as John Tarrant
Michael Caine as John Tarrant is the central character in the 1974 British thriller "The Black Windmill," portraying a seasoned MI6 agent whose son is kidnapped, forcing him into a tense battle against both terrorists and his own superiors.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Anthony Hopkins as William Parrish Triple: [Meet Joe Black, notableCastRole, Anthony Hopkins as William Parrish]
Generated description
Anthony Hopkins as William Parrish is the distinguished, aging media tycoon whose confrontation with mortality and mysterious visitor Joe Black drives the emotional core of the film "Meet Joe Black."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anthony Hopkins as William Parrish Target entity description: Anthony Hopkins as William Parrish is the distinguished, aging media tycoon whose confrontation with mortality and mysterious visitor Joe Black drives the emotional core of the film "Meet Joe Black."
-
A.
Anthony Hopkins as Stevens
Anthony Hopkins as Stevens is the restrained, duty-obsessed English butler whose emotional repression and unwavering loyalty define the poignant core of the film "The Remains of the Day."
-
B.
Bruce Dern as Asa Watts
Bruce Dern as Asa Watts is the actor’s memorable portrayal of the ruthless cattle thief and primary antagonist in the 1972 Western film "The Cowboys."
-
C.
Michael Caine as Dr. Robert Elliott
Michael Caine as Dr. Robert Elliott is the central, psychologically complex psychiatrist character he portrays in Brian De Palma’s 1980 thriller film "Dressed to Kill."
-
D.
Clint Eastwood as Philo Beddoe
Clint Eastwood as Philo Beddoe is the tough but easygoing trucker and bare-knuckle brawler, often accompanied by his pet orangutan Clyde, in the comedic action films of the late 1970s and early 1980s.
-
E.
Michael Caine as John Tarrant
Michael Caine as John Tarrant is the central character in the 1974 British thriller "The Black Windmill," portraying a seasoned MI6 agent whose son is kidnapped, forcing him into a tense battle against both terrorists and his own superiors.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb07ca07481909c45da551ea61ab4 |
completed | April 12, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f93ec588190993baec788d22670 |
completed | May 3, 2026, 5:02 p.m. |
| NEDg | Description generation | batch_69f780bc40f481908191fec9a563e547 |
completed | May 3, 2026, 5:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7817b8c408190b7211ba8fd892f75 |
completed | May 3, 2026, 5:10 p.m. |
Created at: April 9, 2026, 9:49 p.m.