Triple

T5042935
Position Surface form Disambiguated ID Type / Status
Subject The Final Option E113587 entity
Predicate director P255 FINISHED
Object Ian Sharp E272149 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: Ian Sharp | Statement: [The Final Option, director, Ian Sharp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ian Sharp
Context triple: [The Final Option, director, Ian Sharp]
  • A. Ian Sharp chosen
    Ian Sharp is a British film and television director known for his work on action-driven projects, including sequences in the James Bond film "GoldenEye."
  • B. Danny White
    Danny White is a former American football quarterback and punter best known for his successful tenure with the Dallas Cowboys in the NFL.
  • C. Ronald Oxburgh
    Ronald Oxburgh is a British geologist and crossbench life peer known for his contributions to earth sciences and his leadership roles in academia, government, and the energy sector.
  • D. Michael Wearing
    Michael Wearing was a British television producer best known for overseeing influential BBC dramas, including the landmark series "Our Friends in the North."
  • E. David Leigh
    David Leigh is a British investigative journalist and author known for his work on political scandals and intelligence matters, including material that inspired the film "The Fifth Estate."
  • 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_69bd44391fc48190a311ce9c826c209b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73df8f7481909a8b86c4ae69aab9 completed March 20, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c87455081908b759eed55730503 completed March 21, 2026, 1:26 p.m.
Created at: March 20, 2026, 1:37 p.m.