Triple

T6795356
Position Surface form Disambiguated ID Type / Status
Subject Gregor Fisher E156040 entity
Predicate name P16 FINISHED
Object Gregor Fisher E156040 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: Gregor Fisher | Statement: [Gregor Fisher, name, Gregor Fisher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gregor Fisher
Context triple: [Gregor Fisher, name, Gregor Fisher]
  • A. Gregor Fisher chosen
    Gregor Fisher is a Scottish actor best known for his comedic roles, particularly as the lead character in the television series "Rab C. Nesbitt."
  • B. Liam Aiken
    Liam Aiken is an American actor known for his roles as a child and teen in films such as "A Series of Unfortunate Events," "Good Boy!" and "Stepmom."
  • C. Will Firth
    Will Firth is the son of English actor Colin Firth and is known primarily for his connection to his father's prominent film career.
  • D. David Bamber
    David Bamber is an English actor known for his character roles in British television and film, including his portrayal of Mr. Collins in the 1995 adaptation of "Pride and Prejudice."
  • E. Adrian Lester
    Adrian Lester is a British actor and director acclaimed for his powerful stage performances in both classical and contemporary theatre, as well as notable roles in film and television.
  • 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_69c6881844448190a65822d9b39d7f88 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2c6e7dc8190b1f33372d047baba completed March 27, 2026, 6:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a9354448190890846c2e84bb22c completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:15 p.m.