Triple
T9795136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Stop at Willoughby |
E237698
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
James Maloney
James Maloney is an actor known for appearing in the classic television series "The Twilight Zone," including the episode "A Stop at Willoughby."
|
E847862
|
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: James Maloney | Statement: [A Stop at Willoughby, castMember, James Maloney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Maloney Context triple: [A Stop at Willoughby, castMember, James Maloney]
-
A.
Michael Maloney
Michael Maloney is a British actor known for his work in film, television, and theatre, including prominent roles in Shakespearean adaptations.
-
B.
Christopher Murney
Christopher Murney is an American character actor and voice actor known for his work in film, television, and animation, including a prominent role on the series "Remember WENN."
-
C.
Andrew Duggan
Andrew Duggan was an American character actor known for his prolific work in film and television from the 1950s through the 1980s.
-
D.
Luke Doolan
Luke Doolan is an Australian film editor and filmmaker best known for his work on acclaimed films such as "Animal Kingdom."
-
E.
Mike Molloy
Mike Molloy is a cinematographer best known for his work on the British crime film "The Hit."
- 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: James Maloney Triple: [A Stop at Willoughby, castMember, James Maloney]
Generated description
James Maloney is an actor known for appearing in the classic television series "The Twilight Zone," including the episode "A Stop at Willoughby."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: James Maloney Target entity description: James Maloney is an actor known for appearing in the classic television series "The Twilight Zone," including the episode "A Stop at Willoughby."
-
A.
Michael Maloney
Michael Maloney is a British actor known for his work in film, television, and theatre, including prominent roles in Shakespearean adaptations.
-
B.
Christopher Murney
Christopher Murney is an American character actor and voice actor known for his work in film, television, and animation, including a prominent role on the series "Remember WENN."
-
C.
Andrew Duggan
Andrew Duggan was an American character actor known for his prolific work in film and television from the 1950s through the 1980s.
-
D.
Luke Doolan
Luke Doolan is an Australian film editor and filmmaker best known for his work on acclaimed films such as "Animal Kingdom."
-
E.
Mike Molloy
Mike Molloy is a cinematographer best known for his work on the British crime film "The Hit."
- 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda34916dc8190acef2ba003e56a33 |
completed | April 1, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d32a5921c8819085a2188805b4811c |
completed | April 6, 2026, 3:36 a.m. |
| NEDg | Description generation | batch_69d32b4030d0819092f13e894dbaa2e7 |
completed | April 6, 2026, 3:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d32b97b5a081908c6e1a6485e37816 |
completed | April 6, 2026, 3:42 a.m. |
Created at: March 30, 2026, 8:28 p.m.