Triple
T11603646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael (1996 film) |
E275194
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | James Jacks |
E676658
|
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 Jacks | Statement: [Michael (1996 film), producer, James Jacks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Jacks Context triple: [Michael (1996 film), producer, James Jacks]
-
A.
James Jacks
chosen
James Jacks was an American film producer best known for his work on popular action and adventure movies such as "The Mummy" series.
-
B.
Jack Cates
Jack Cates is a tough, rule-bending San Francisco police detective and one of the two main protagonists in the action-comedy film "48 Hrs."
-
C.
Johnny Worricker
Johnny Worricker is a seasoned, quietly principled MI5 intelligence officer whose moral dilemmas drive the British political thriller film "Page Eight."
-
D.
Anthony McHenry
Anthony McHenry is an American professional basketball player best known for his long, successful career in Japan’s B.League, particularly as a key contributor to the Ryukyu Golden Kings.
-
E.
Jack Vincennes
Jack Vincennes is a charismatic, morally conflicted LAPD detective and celebrity cop in the neo-noir crime story "L.A. Confidential."
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d895502e0081909ee9c3d45d26cd91 |
completed | April 10, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee87077d008190874a8339b64dd5ec |
completed | April 26, 2026, 9:43 p.m. |
Created at: April 8, 2026, 9:38 p.m.