Triple

T23420085
Position Surface form Disambiguated ID Type / Status
Subject Charlie Jones E560626 entity
Predicate employer P7 FINISHED
Object CBS (United States) 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: CBS (United States) | Statement: [Charlie Jones, employer, CBS (United States)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CBS (United States)
Context triple: [Charlie Jones, employer, CBS (United States)]
  • A. CBS television network chosen
    CBS television network is a major American broadcast television network known for its long-running scripted series, news programs, and wide-reaching national audience.
  • B. CBS
    CBS is a premier undergraduate college of the University of Delhi specializing in business, management, and computer science education.
  • C. CBS
    CBS is a leading Danish university in Copenhagen specializing in business and economics education and research.
  • D. CBS
    CBS is the acronym for the Central Bank of Somalia, the country’s primary monetary authority responsible for issuing currency and overseeing financial stability.
  • E. CBS
    CBS is the Curtin Business School, a leading Australian institution offering business education and research as part of Curtin University.
  • 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_69e2454cb1108190ab21ada5411a7146 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a54489d48190b2b2c29701851765 completed April 29, 2026, 6:29 a.m.
Created at: April 17, 2026, 5:44 p.m.