Triple

T19106156
Position Surface form Disambiguated ID Type / Status
Subject Simon Templar E467659 entity
Predicate portrayedBy P1507 FINISHED
Object Louis Hayward NE NERFINISHED

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: Louis Hayward | Statement: [Simon Templar, portrayedBy, Louis Hayward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louis Hayward
Context triple: [Simon Templar, portrayedBy, Louis Hayward]
  • A. Louis Hayward chosen
    Louis Hayward was a British-born American film and television actor known for his suave, debonair roles in adventure films and dramas from the 1930s through the 1950s.
  • B. Robert Healey
    Robert Healey is a name shared by several notable individuals, including an American lawyer and perennial political candidate known for his satirical campaigns.
  • C. Neville Brand
    Neville Brand was an American character actor known for his tough-guy roles in film and television, often portraying soldiers, criminals, and other rugged figures.
  • D. Richard Arlen
    Richard Arlen was an American film actor best known for his roles in early Hollywood, particularly in silent and early sound-era adventure and war films.
  • E. Roy Harlow
    Roy Harlow was the husband of silent film actress Marie Mosquini, known primarily in relation to her career in early American cinema.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e37159688190a6896d9730214ba8 completed April 20, 2026, 8:27 a.m.
Created at: April 10, 2026, 12:04 p.m.