Triple
T3066382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tea with Mussolini |
E62112
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | David Watkin |
E217828
|
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: David Watkin | Statement: [Tea with Mussolini, cinematographyBy, David Watkin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Watkin Context triple: [Tea with Mussolini, cinematographyBy, David Watkin]
-
A.
David Watkin
chosen
David Watkin was an acclaimed British cinematographer known for his innovative naturalistic lighting and work on films such as "Chariots of Fire" and "Out of Africa."
-
B.
Ian Woodward
Ian Woodward is a personal name shared by multiple individuals, including professionals in fields such as academia, business, and the arts.
-
C.
Graham Walters
Graham Walters is a film producer best known for his work on the acclaimed Pixar animated feature "Finding Nemo."
-
D.
Richard Hiscott
Richard Hiscott is an editor known for his work on the television series "Willow."
-
E.
Nigel Ball
Nigel Ball is a person notable enough to be recognized as a bearer of the surname Ball, though specific widely known achievements or roles are not clearly documented.
- 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada0fd87308190918e7b616f033faa |
completed | March 8, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1ef16cf2881908265dfe8a1e3424d |
completed | March 11, 2026, 10:39 p.m. |
Created at: March 8, 2026, 3:02 p.m.