Triple

T10463170
Position Surface form Disambiguated ID Type / Status
Subject The Ipcress File E246726 entity
Predicate starring P1507 FINISHED
Object Nigel Green E791136 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: Nigel Green | Statement: [The Ipcress File, starring, Nigel Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nigel Green
Context triple: [The Ipcress File, starring, Nigel Green]
  • A. Nigel Green chosen
    Nigel Green was a British character actor known for his commanding presence in mid-20th-century war and adventure films.
  • B. Nigel Sears
    Nigel Sears is a British tennis coach best known for working with several top WTA players, including former world No. 1 Ana Ivanovic.
  • C. Nigel Wick
    Nigel Wick is a comically tyrannical and eccentric British boss on the American sitcom "The Drew Carey Show," known for his outrageous behavior and antagonistic relationship with the main character.
  • D. Nigel Lamb
    Nigel Lamb is a British aerobatic and air racing pilot best known for competing at the highest level in international air racing events, including the Red Bull Air Race World Championship.
  • E. Nigel Harrison
    Nigel Harrison is an English bassist best known for his work with the new wave band Blondie during their late-1970s and early-1980s peak.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50884fac48190af22e181b1492557 completed April 7, 2026, 1:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc4fbc3481909b214137f26e243b completed April 10, 2026, 11:17 a.m.
Created at: April 6, 2026, 12:19 p.m.