Triple

T1434026
Position Surface form Disambiguated ID Type / Status
Subject Vin Scully E30516 entity
Predicate employer P7 FINISHED
Object KABC E21279 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: KABC | Statement: [Vin Scully, employer, KABC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KABC
Context triple: [Vin Scully, employer, KABC]
  • A. KABC-TV chosen
    KABC-TV is a major ABC-owned television station serving the Los Angeles, California media market.
  • B. KA
    KA is the vehicle registration code used on license plates for cars registered in the German city of Karlsruhe.
  • C. ABC
    ABC is a major American broadcast television network known for airing a wide range of national programming, including sports championships, news, and entertainment shows.
  • D. ABC
    ABC is a pioneering English new wave band best known for their polished, synth-driven pop sound and the influential 1982 album "The Lexicon of Love."
  • E. KCA
    KCA is a nonprofit organization dedicated to providing life-saving HIV treatment, care, and support to children and families in underserved communities, particularly in Africa and India.
  • 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_69a498fc69ec8190b61722bd4b67c4d2 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c4df1e3c819086646b709021d7f0 completed March 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad016e25808190880a6e637dd2590a completed March 8, 2026, 4:56 a.m.
Created at: March 1, 2026, 8 p.m.