Triple

T20702303
Position Surface form Disambiguated ID Type / Status
Subject Leslie Cockburn E508813 entity
Predicate employer P7 FINISHED
Object PBS E8587 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: PBS | Statement: [Leslie Cockburn, employer, PBS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PBS
Context triple: [Leslie Cockburn, employer, PBS]
  • A. PBS chosen
    PBS is a U.S. public television network known for educational, scientific, and cultural programming.
  • B. PBS
    PBS is a U.S. federal agency component responsible for managing and providing government office space and real property for civilian agencies.
  • C. American Public Television
    American Public Television is a major U.S. syndicator and distributor of public television programming, providing content and services to public TV stations nationwide.
  • D. CBS
    CBS is a premier undergraduate college of the University of Delhi specializing in business, management, and computer science education.
  • E. CBS
    CBS is a Harvard University research center dedicated to advancing the understanding of the brain through interdisciplinary neuroscience studies.
  • 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_69e0b4c2b2a481909e31e9cb8f81ab55 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c18cb9cc819095d0669dca037424 completed April 21, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08d7f035f4819088fd2f0563a3ebda completed May 16, 2026, 8:47 p.m.
Created at: April 16, 2026, 12:12 p.m.