Triple
T10682352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ward |
E251788
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Peter Block
Peter Block is a film producer known for his work on genre movies, including the horror film "The Ward."
|
E878893
|
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: Peter Block | Statement: [The Ward, producer, Peter Block]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Block Context triple: [The Ward, producer, Peter Block]
-
A.
Peter Levin
Peter Levin is an American keyboardist and composer best known for his work in roots, soul, and gospel-influenced music, including performances with acclaimed vocal group The Blind Boys of Alabama.
-
B.
Peter Bowker
Peter Bowker is a British television and film screenwriter known for creating and writing acclaimed dramas such as "Blackpool," "Occupation," and "World on Fire."
-
C.
K. Trevor Wilson
K. Trevor Wilson is a Canadian stand-up comedian and actor best known for playing the character Squirrely Dan on the television series "Letterkenny."
-
D.
Andrew Lippman
Andrew Lippman is an American media technology researcher and longtime MIT Media Lab professor known for his pioneering work in digital communication and interactive media.
-
E.
Ian Blume
Ian Blume is a film editor known for his work on the drama feature "Ben Is Back."
- 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: Peter Block Triple: [The Ward, producer, Peter Block]
Generated description
Peter Block is a film producer known for his work on genre movies, including the horror film "The Ward."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Block Target entity description: Peter Block is a film producer known for his work on genre movies, including the horror film "The Ward."
-
A.
Peter Levin
Peter Levin is an American keyboardist and composer best known for his work in roots, soul, and gospel-influenced music, including performances with acclaimed vocal group The Blind Boys of Alabama.
-
B.
Peter Bowker
Peter Bowker is a British television and film screenwriter known for creating and writing acclaimed dramas such as "Blackpool," "Occupation," and "World on Fire."
-
C.
K. Trevor Wilson
K. Trevor Wilson is a Canadian stand-up comedian and actor best known for playing the character Squirrely Dan on the television series "Letterkenny."
-
D.
Andrew Lippman
Andrew Lippman is an American media technology researcher and longtime MIT Media Lab professor known for his pioneering work in digital communication and interactive media.
-
E.
Ian Blume
Ian Blume is a film editor known for his work on the drama feature "Ben Is Back."
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fcc30be481909922844b539b622d |
completed | April 9, 2026, 1:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9888cf7b481909de6a4fecb48cf4b |
completed | April 10, 2026, 11:32 p.m. |
| NEDg | Description generation | batch_69d98aea391c81909ec64a29053c35c1 |
completed | April 10, 2026, 11:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d98c013348819094bde38a057257b4 |
completed | April 10, 2026, 11:47 p.m. |
Created at: April 8, 2026, 9:10 p.m.