Triple

T16633397
Position Surface form Disambiguated ID Type / Status
Subject The Bob Mathias Story E404132 entity
Predicate cinematographyBy P1953 FINISHED
Object Lionel Lindon E466070 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: Lionel Lindon | Statement: [The Bob Mathias Story, cinematographyBy, Lionel Lindon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lionel Lindon
Context triple: [The Bob Mathias Story, cinematographyBy, Lionel Lindon]
  • A. Lionel Lindon chosen
    Lionel Lindon was an American cinematographer known for his work on numerous Hollywood films from the 1930s through the 1960s, earning multiple Academy Award nominations and a win for Best Cinematography.
  • B. Lionel Royce
    Lionel Royce was an Austrian-born actor active in early 20th-century European and American film and theater.
  • C. Lionel Burnett
    Lionel Burnett was one of the sons of renowned British-American novelist Frances Hodgson Burnett, best known as the author of "The Secret Garden" and "A Little Princess."
  • D. Lionel Martin
    Lionel Martin was a British engineer and entrepreneur best known as the co-founder of the luxury sports car manufacturer Aston Martin.
  • E. Lionel Houser
    Lionel Houser was an American screenwriter known for his work on mid-20th-century Hollywood films, particularly romantic comedies and light-hearted dramas.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e7d4a48190a9b4a14ecbb2a14b completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007dbe82b4819093b954567790bef7 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.