Triple

T12874049
Position Surface form Disambiguated ID Type / Status
Subject The Battler E307918 entity
Predicate hasLiteraryCharacter P12208 FINISHED
Object Ad Francis E1007536 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: Ad Francis | Statement: [The Battler, hasLiteraryCharacter, Ad Francis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ad Francis
Context triple: [The Battler, hasLiteraryCharacter, Ad Francis]
  • A. Ad Francis chosen
    Ad Francis is a mentally unstable, physically scarred former prizefighter who appears as a central character in Ernest Hemingway’s short story “The Battler.”
  • B. Forest Baskett
    Forest Baskett is an American computer scientist and venture capitalist known for his influential work in computer architecture and his role as a general partner at New Enterprise Associates (NEA).
  • C. Roy Hurley
    Roy Hurley was an American professional basketball player who competed in the Basketball Association of America during the 1940s.
  • D. Paul Westphal
    Paul Westphal was an American Hall of Fame basketball player and coach best known as an All-Star guard for the Phoenix Suns in the 1970s.
  • E. Paul Silas
    Paul Silas was an American professional basketball player and three-time NBA champion who later became a head coach in the league.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970f87aa48190a7234424a6badef0 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a55161a881908d767653c17d3acc completed May 3, 2026, 1:30 a.m.
Created at: April 9, 2026, 5:38 p.m.