Triple

T21900078
Position Surface form Disambiguated ID Type / Status
Subject Soji Asha E540783 entity
Predicate programmedBy P48294 FINISHED
Object Bruce Maddox 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: Bruce Maddox | Statement: [Soji Asha, programmedBy, Bruce Maddox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bruce Maddox
Context triple: [Soji Asha, programmedBy, Bruce Maddox]
  • A. Bruce Maddox chosen
    Bruce Maddox is a Starfleet cyberneticist in the Star Trek universe, best known for his controversial efforts to study and replicate the android Data.
  • B. Roger McDowell
    Roger McDowell is a former Major League Baseball relief pitcher best known for his role in the New York Mets’ dominant bullpen during the mid-1980s, including their 1986 World Series championship team.
  • C. Brian Morris
    Brian Morris is an American jurist who serves as the Chief Judge of the United States District Court for the District of Montana and is known for his federal judicial service in that state.
  • D. Jerry Murrell
    Jerry Murrell is an American entrepreneur best known for creating and expanding the Five Guys burger restaurant chain into a major fast-casual brand.
  • E. Phil Morrow
    Phil Morrow is a television producer known for his work in developing and producing various entertainment and factual programs.
  • 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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fca2bf88190b2a5b912aa102513 completed April 28, 2026, 8:59 p.m.
Created at: April 16, 2026, 7:07 p.m.