Triple
T15311997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gold (2016 film) |
E366059
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Stephen Gaghan |
E202168
|
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: Stephen Gaghan | Statement: [Gold (2016 film), director, Stephen Gaghan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen Gaghan Context triple: [Gold (2016 film), director, Stephen Gaghan]
-
A.
Stephen Gaghan
chosen
Stephen Gaghan is an American screenwriter and director best known for his politically charged, multi-narrative films such as "Traffic" and "Syriana."
-
B.
Miller Gaghan
Miller Gaghan is a child of American screenwriter and director Stephen Gaghan, known for films such as "Traffic" and "Syriana."
-
C.
Des McAnuff
Des McAnuff is a Tony Award–winning Canadian-American director and producer best known for his work on major Broadway musicals such as "Jersey Boys" and "Big River."
-
D.
Gregory Mottola
Gregory Mottola is an American film director and screenwriter best known for directing the comedy films "Superbad" and "Adventureland."
-
E.
Michael Guest
Michael Guest is an American Republican politician serving in the U.S. House of Representatives from Mississippi.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03cd2d5a88190aead748920f93d47 |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff133d171c8190918c9624bcdb7451 |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:16 a.m.