Triple
T17420892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hatchet II |
E423610
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Will Barratt |
—
|
NE NERFINISHED |
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: Will Barratt | Statement: [Hatchet II, cinematographyBy, Will Barratt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Will Barratt Context triple: [Hatchet II, cinematographyBy, Will Barratt]
-
A.
Will Barratt
chosen
Will Barratt is a cinematographer and film producer best known for his work on independent horror films, including the cult slasher "Hatchet."
-
B.
Barry Robinson
Barry Robinson is a recurring character from the animated TV series "American Dad!", known as one of Steve Smith’s nerdy yet unpredictably dangerous friends.
-
C.
Keith O'Nions
Keith O'Nions is a British geologist and academic leader who served as rector of Imperial College London and is known for his contributions to earth sciences and science policy.
-
D.
Tony Barrett
Tony Barrett is a fictional character appearing in the film "The Wedding Night."
-
E.
Chris Bremner
Chris Bremner is a screenwriter best known for his work on major Hollywood action-comedy films, including entries in the Bad Boys franchise.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e442372954819085f332efc7067ae9 |
completed | April 19, 2026, 2:47 a.m. |
Created at: April 10, 2026, 5:46 a.m.