Triple
T2462207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kathryn Bigelow |
E54556
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Kathryn Bigelow |
E54556
|
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: Kathryn Bigelow | Statement: [Kathryn Bigelow, name, Kathryn Bigelow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kathryn Bigelow Context triple: [Kathryn Bigelow, name, Kathryn Bigelow]
-
A.
Kathryn Bigelow
chosen
Kathryn Bigelow is an American film director and producer best known for her gritty, suspenseful dramas such as "The Hurt Locker" and "Zero Dark Thirty."
-
B.
Kasi Lemmons
Kasi Lemmons is an American film director, screenwriter, and actress known for works such as "Eve's Bayou," "Harriet," and other character-driven dramas exploring African American experiences.
-
C.
Cate Shortland
Cate Shortland is an Australian film and television director known for character-driven dramas and for directing the Marvel superhero film "Black Widow."
-
D.
Sandy Powell
Sandy Powell is a renowned British costume designer celebrated for her innovative and influential work on numerous acclaimed films.
-
E.
Gale Anne Hurd
Gale Anne Hurd is an American film and television producer best known for her influential work on science fiction and action franchises such as The Terminator and Aliens.
- 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd11f093c8190877db3026d430bd5 |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0d561a081909310113658b98f12 |
completed | March 9, 2026, 4:09 p.m. |
Created at: March 6, 2026, 9:44 p.m.