Triple

T19579496
Position Surface form Disambiguated ID Type / Status
Subject The Rocket E489948 entity
Predicate cinematographyBy P1953 FINISHED
Object Pierre Gill NE NERFINISHED

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: Pierre Gill | Statement: [The Rocket, cinematographyBy, Pierre Gill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pierre Gill
Context triple: [The Rocket, cinematographyBy, Pierre Gill]
  • A. Pierre Gill chosen
    Pierre Gill is a Canadian cinematographer known for his work on feature films and television series, including the action thriller "The Covenant."
  • B. Michel Auclair
    Michel Auclair was a French actor known for his work in mid-20th-century European and Hollywood films, often portraying suave or sophisticated characters.
  • C. Michel Crête
    Michel Crête is a renowned Canadian set and stage designer best known for his innovative work with Cirque du Soleil and other major theatrical productions.
  • D. André Morisset
    André Morisset was a French scholar and academic, best known as the husband of philosopher Simone de Beauvoir.
  • E. André Morisset
    André Morisset was the son of Mirra Alfassa (known as The Mother), the spiritual collaborator of Sri Aurobindo and co-founder of the Sri Aurobindo Ashram in Pondicherry, India.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6402763b8819099e535979f094f9d completed April 20, 2026, 3:03 p.m.
Created at: April 10, 2026, 1:42 p.m.