Triple
T17037427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michelle |
E413356
|
entity |
| Predicate | cinematographerOfWork |
P90619
|
FINISHED |
| Object | Jeff Cutter |
E418033
|
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: Jeff Cutter | Statement: [Michelle, cinematographerOfWork, Jeff Cutter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Cutter Context triple: [Michelle, cinematographerOfWork, Jeff Cutter]
-
A.
Jeff Cutter
chosen
Jeff Cutter is an American cinematographer known for his work on genre films such as the thriller "10 Cloverfield Lane."
-
B.
Michael Cutter
Michael Cutter is a fictional executive assistant district attorney known for his aggressive, hard-driving prosecution style on the television series "Law & Order."
-
C.
Grant Cutler
Grant Cutler is a musician best known as a member of the indie supergroup Gayngs, contributing to its atmospheric, genre-blending sound.
-
D.
John Ketcham
John Ketcham is a film producer best known for his work on the biographical sports drama "The Hurricane."
-
E.
James Cutler
James Cutler is an architect best known for designing the Salem Witch Trials Memorial in Salem, Massachusetts.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d8f38b58819093af4054c3459726 |
completed | April 18, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b5b71f48190b6c865d57668b5d1 |
completed | May 10, 2026, 11:57 p.m. |
Created at: April 10, 2026, 5:33 a.m.