Triple

T16593527
Position Surface form Disambiguated ID Type / Status
Subject Howard E403148 entity
Predicate guidesCharacter P44698 FINISHED
Object Bob Curtin E416040 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: Bob Curtin | Statement: [Howard, guidesCharacter, Bob Curtin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bob Curtin
Context triple: [Howard, guidesCharacter, Bob Curtin]
  • A. Bob Curtin chosen
    Bob Curtin is one of the down-on-their-luck American prospectors whose moral struggles and shifting loyalties drive the central drama of the film "The Treasure of the Sierra Madre."
  • B. Ted Cheesman
    Ted Cheesman was a film editor best known for his work on classic Hollywood productions, including the 1933 monster film "King Kong."
  • C. Phil Kellogg
    Phil Kellogg is a music producer known for his work with the band American Heart.
  • D. Mike Gillespie
    Mike Gillespie was a highly respected American college baseball coach best known for leading the USC Trojans to sustained success, including a national championship.
  • E. Bill Rigney
    Bill Rigney was an American Major League Baseball manager and former infielder best known for managing teams such as the New York/San Francisco Giants, Los Angeles/California Angels, and Minnesota Twins.
  • 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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35d6fcaa48190b1ba7dc3b792041a completed April 18, 2026, 10:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a012ec5c99c819082f154267c246e92 completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:16 a.m.