Triple

T5597273
Position Surface form Disambiguated ID Type / Status
Subject Anthropoid (2016 film) E147028 entity
Predicate cinematographer P1953 FINISHED
Object Sean Ellis E530046 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: Sean Ellis | Statement: [Anthropoid (2016 film), cinematographer, Sean Ellis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sean Ellis
Context triple: [Anthropoid (2016 film), cinematographer, Sean Ellis]
  • A. Sean Ellis chosen
    Sean Ellis is a British film director, screenwriter, and producer known for visually striking, atmospheric works such as "Cashback," "Metro Manila," and the World War II thriller "Anthropoid."
  • B. Ron Ellis
    Ron Ellis is a former Canadian professional ice hockey right winger best known for his long and successful NHL career with the Toronto Maple Leafs.
  • C. Mark Ellam
    Mark Ellam is a cinematographer known for his work on the film "The Take."
  • D. John Hearne
    John Hearne was an Irish constitutional lawyer and civil servant best known as the principal architect of the 1937 Constitution of Ireland.
  • E. Charles Ardai
    Charles Ardai is an American writer, editor, and entrepreneur best known as the founder of the Hard Case Crime imprint and for his award-winning crime and mystery fiction.
  • 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_69c009043d648190a7af89698ccf1e3e completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020c126088190914ef7b575d800e4 completed March 22, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07d931c2c819081ee41a633436d7d completed March 22, 2026, 11:38 p.m.
Created at: March 22, 2026, 3:38 p.m.