Triple

T2008875
Position Surface form Disambiguated ID Type / Status
Subject Out of Africa E43646 entity
Predicate cinematographer 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: [Out of Africa, cinematographer, David Watkin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Watkin
Context triple: [Out of Africa, cinematographer, 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. Graham Walters
    Graham Walters is a film producer best known for his work on the acclaimed Pixar animated feature "Finding Nemo."
  • C. Richard Hiscott
    Richard Hiscott is an editor known for his work on the television series "Willow."
  • D. Colin Goudie
    Colin Goudie is a film editor known for his work on major feature films, including the fantasy action movie "King Arthur: Legend of the Sword."
  • E. Andrew Whitham
    Andrew Whitham is a distinguished geoscientist recognized for his significant contributions to the field, as evidenced by his receipt of the William Smith Medal.
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb89be08c81909eb5ea672ea46b2b completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc01679b08190888249a147330288 completed March 10, 2026, 6:54 a.m.
Created at: March 4, 2026, 7:37 p.m.