Triple
T18220850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McBride |
E436298
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Jack Conley
Jack Conley is an American character actor known for his supporting roles in film and television, often appearing in crime dramas and genre series.
|
E1339906
|
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: Jack Conley | Statement: [McBride, hasCastMember, Jack Conley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack Conley Context triple: [McBride, hasCastMember, Jack Conley]
-
A.
Jack Conroy
Jack Conroy is a cinematographer best known for his work on the acclaimed film "My Left Foot."
-
B.
Jack Conway
Jack Conway was an American film director best known for his work during Hollywood's studio era, directing numerous MGM productions across genres from the 1910s through the 1940s.
-
C.
Jimmy Conlon
Jimmy Conlon is a weary, guilt-ridden former mob hitman who is forced to protect his estranged son over the course of one violent night.
-
D.
Jack Doolan
Jack Doolan is a British actor best known for his role in the coming-of-age comedy-drama film "Cemetery Junction" and various appearances in UK television series.
-
E.
Jay O’Connor
Jay O’Connor is a child of John Jay O’Connor III, the husband of former U.S. Supreme Court Justice Sandra Day O’Connor.
- 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: Jack Conley Triple: [McBride, hasCastMember, Jack Conley]
Generated description
Jack Conley is an American character actor known for his supporting roles in film and television, often appearing in crime dramas and genre series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jack Conley Target entity description: Jack Conley is an American character actor known for his supporting roles in film and television, often appearing in crime dramas and genre series.
-
A.
Jack Conroy
Jack Conroy is a cinematographer best known for his work on the acclaimed film "My Left Foot."
-
B.
Jack Conway
Jack Conway was an American film director best known for his work during Hollywood's studio era, directing numerous MGM productions across genres from the 1910s through the 1940s.
-
C.
Jimmy Conlon
Jimmy Conlon is a weary, guilt-ridden former mob hitman who is forced to protect his estranged son over the course of one violent night.
-
D.
Jack Doolan
Jack Doolan is a British actor best known for his role in the coming-of-age comedy-drama film "Cemetery Junction" and various appearances in UK television series.
-
E.
Jay O’Connor
Jay O’Connor is a child of John Jay O’Connor III, the husband of former U.S. Supreme Court Justice Sandra Day O’Connor.
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e47b5bfc819085c5935c08361ba9 |
completed | April 19, 2026, 2:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05323e9c048190af9c15f0a1b2ab74 |
completed | May 14, 2026, 2:23 a.m. |
| NEDg | Description generation | batch_6a053402521c8190927afa670fb8e38e |
completed | May 14, 2026, 2:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05349009e481909fb757415468aa70 |
completed | May 14, 2026, 2:33 a.m. |
Created at: April 10, 2026, 10:32 a.m.