Triple

T15927460
Position Surface form Disambiguated ID Type / Status
Subject Zardoz E386238 entity
Predicate cinematography P1953 FINISHED
Object Geoffrey Unsworth E295858 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: Geoffrey Unsworth | Statement: [Zardoz, cinematography, Geoffrey Unsworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geoffrey Unsworth
Context triple: [Zardoz, cinematography, Geoffrey Unsworth]
  • A. Geoffrey Unsworth chosen
    Geoffrey Unsworth was a renowned British cinematographer celebrated for his visually rich work on numerous classic films of the 1960s and 1970s.
  • B. Geoffrey Hinchliffe
    Geoffrey Hinchliffe is an actor best known for his role in the British film "Made in Britain."
  • C. Geoffrey Butler
    Geoffrey Butler is the sardonic, impeccably proper English butler who serves and often wryly comments on the Banks family’s antics in the sitcom "The Fresh Prince of Bel-Air."
  • D. Geoffrey Lawrence
    Geoffrey Lawrence was a British judge best known for serving as the presiding judge at the Nuremberg war crimes trials after World War II.
  • E. Geoffrey Gardner
    Geoffrey Gardner is a sports administrator best known for his leadership role as a vice president within World Athletics, the international governing body for track and field.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156872964819083a2fb9f86df61ba completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00606823cc81908c461ef8764ebf41 completed May 10, 2026, 10:39 a.m.
Created at: April 10, 2026, 4:52 a.m.