Triple

T12862587
Position Surface form Disambiguated ID Type / Status
Subject Roger Cobb E307630 entity
Predicate hasFullName P16 FINISHED
Object Roger Cobb E307630 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: Roger Cobb | Statement: [Roger Cobb, hasFullName, Roger Cobb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roger Cobb
Context triple: [Roger Cobb, hasFullName, Roger Cobb]
  • A. Roger Cobb chosen
    Roger Cobb is the harried, skeptical lawyer who becomes comically entangled with a deceased heiress’s spirit in the 1984 fantasy-comedy film "All of Me."
  • B. Billy Keller
    Billy Keller is a former American professional basketball guard best known for his sharpshooting and key role on the Indiana Pacers’ championship teams in the American Basketball Association.
  • C. Chuck Aule
    Chuck Aule is a U.S. Marshal and the investigative partner to Teddy Daniels in the psychological thriller film "Shutter Island."
  • D. Larry Cobb
    Larry Cobb is a musician best known as a member of Kevin Costner's country-rock band, Kevin Costner & Modern West.
  • E. Luke Appling
    Luke Appling was a star shortstop for the Chicago White Sox and a Baseball Hall of Famer known for his exceptional hitting and on-base skills during the 1930s and 1940s.
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9708cf6b48190886a99e04d85d348 completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbb93c688190910ffb6bc6fbef3f completed May 3, 2026, 4:14 a.m.
Created at: April 9, 2026, 5:37 p.m.