Triple

T9397639
Position Surface form Disambiguated ID Type / Status
Subject Ray Perkins E226385 entity
Predicate name P16 FINISHED
Object Ray Perkins E226385 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: Ray Perkins | Statement: [Ray Perkins, name, Ray Perkins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ray Perkins
Context triple: [Ray Perkins, name, Ray Perkins]
  • A. Ray Perkins chosen
    Ray Perkins was an American football coach best known for leading the New York Giants in the early 1980s and later succeeding Bear Bryant as head coach at the University of Alabama.
  • B. Robert Parrish
    Robert Parrish was an American film editor and director, as well as a former child actor, known for his work on several classic Hollywood films.
  • C. Wallace Ford
    Wallace Ford was a British-born American character actor known for his prolific work in Hollywood films from the 1930s through the 1950s, often playing tough, streetwise or everyman roles.
  • D. Rance Howard
    Rance Howard was an American character actor known for his extensive work in film and television and as the patriarch of the Howard acting and directing family.
  • E. Ralph Nelson
    Ralph Nelson was an American film and television director, producer, and writer known for works such as "Lilies of the Field" and "Requiem for a Heavyweight."
  • 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_69ca843170f88190800a8ab2b5fc568e completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd51541020819097da2eb60be73760 completed April 1, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69d189e39d908190a992a7d00524515d completed April 4, 2026, 10 p.m.
Created at: March 30, 2026, 7:46 p.m.