Triple

T10349541
Position Surface form Disambiguated ID Type / Status
Subject Gandhi E243842 entity
Predicate musicBy P1952 FINISHED
Object George Fenton E190168 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: George Fenton | Statement: [Gandhi, musicBy, George Fenton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Fenton
Context triple: [Gandhi, musicBy, George Fenton]
  • A. George Fenton chosen
    George Fenton is a British composer best known for his acclaimed scores for film and landmark nature documentaries, including several BBC series.
  • B. Albert Fennell
    Albert Fennell was a British film and television producer best known for his work on genre films and series such as the cult horror movie "The Legend of Hell House" and the spy show "The Avengers."
  • C. George Barr
    George Barr is a science fiction and fantasy fan artist renowned for his distinctive illustrative work, which earned him recognition such as the Hugo Award for Best Fan Artist.
  • D. George Barr
    George Barr was a prominent Major League Baseball umpire active in the mid-20th century, known for officiating numerous significant games and for helping to professionalize umpire training.
  • E. Geoffrey Streatfeild
    Geoffrey Streatfeild is a British actor known for his work in film, television, and theatre, including roles in productions such as "The Thick of It" and "Spooks."
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e946cbb881909b88536d0107995d completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7951e65948190a25e559ba94be3c7 completed April 9, 2026, 12:01 p.m.
Created at: April 6, 2026, 11:57 a.m.