Triple
T14807199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Yards |
E348067
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | James Caan |
E197912
|
NE FINISHED |
How this triple was built (2 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 Caan | Statement: [The Yards, stars, James Caan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Caan Context triple: [The Yards, stars, James Caan]
-
A.
James Caan
chosen
James Caan was an American actor best known for his intense, charismatic performances in films such as "The Godfather," "Misery," and "Brian's Song."
-
B.
Josie James Caan
Josie James Caan is the daughter of American actor Scott Caan and his partner Kacy Byxbee.
-
C.
Arthur Caan
Arthur Caan is the son of the late American actor James Caan, known for his iconic roles in films such as "The Godfather."
-
D.
Roy Scheider
Roy Scheider was an American actor best known for his intense, everyman performances in films such as "The French Connection," "All That Jazz," and "Jaws."
-
E.
John Cazale
John Cazale was an American actor renowned for his intense, memorable performances in a brief but influential film career that included classics like The Godfather, Dog Day Afternoon, and The Deer Hunter.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf33b6a08190ab6a4cfeda2cc09c |
completed | April 14, 2026, 11:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9685aa5c8190b4e4d82af80f36f8 |
completed | May 9, 2026, 2:05 a.m. |
Created at: April 10, 2026, 1:41 a.m.