Triple
T17399606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hatchet |
E423051
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
Will Barratt
Will Barratt is a cinematographer and film producer best known for his work on independent horror films, including the cult slasher "Hatchet."
|
E1266859
|
NE FINISHED |
How this triple was built (4 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, cinematographyBy, Will Barratt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Will Barratt Context triple: [Hatchet, cinematographyBy, Will Barratt]
-
A.
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.
-
B.
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.
-
C.
Tony Barrett
Tony Barrett is a fictional character appearing in the film "The Wedding Night."
-
D.
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.
-
E.
John Barrett
John Barrett was an actor who appeared in the 1978 animated film adaptation of "The Water Babies."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Will Barratt Triple: [Hatchet, cinematographyBy, Will Barratt]
Generated description
Will Barratt is a cinematographer and film producer best known for his work on independent horror films, including the cult slasher "Hatchet."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Will Barratt Target entity description: Will Barratt is a cinematographer and film producer best known for his work on independent horror films, including the cult slasher "Hatchet."
-
A.
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.
-
B.
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.
-
C.
Tony Barrett
Tony Barrett is a fictional character appearing in the film "The Wedding Night."
-
D.
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.
-
E.
John Barrett
John Barrett was an actor who appeared in the 1978 animated film adaptation of "The Water Babies."
- F. None of above. chosen
Provenance (5 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43ac0596481908c400916d5c1b971 |
completed | April 19, 2026, 2:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01a002b034819099fd74e01bb382b0 |
completed | May 11, 2026, 9:23 a.m. |
| NEDg | Description generation | batch_6a01a176d2488190951bbe07233a37e4 |
completed | May 11, 2026, 9:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01a58b12088190828078c69c4fff4b |
completed | May 11, 2026, 9:46 a.m. |
Created at: April 10, 2026, 5:45 a.m.