Triple

T12038798
Position Surface form Disambiguated ID Type / Status
Subject Chick Hearn E286607 entity
Predicate employer P7 FINISHED
Object KLAC E286608 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: KLAC | Statement: [Chick Hearn, employer, KLAC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KLAC
Context triple: [Chick Hearn, employer, KLAC]
  • A. KLAC chosen
    KLAC is a Los Angeles-based sports radio station best known for broadcasting Los Angeles Lakers games and other local sports coverage.
  • B. KLAX
    KLAX is the ICAO code for Los Angeles International Airport, one of the busiest and most important air transport hubs in the United States and the world.
  • C. KLAL
    KLAL is the ICAO airport code for Lakeland Linder International Airport in Lakeland, Florida, a regional airport known for general aviation and cargo operations.
  • D. KLAS
    KLAS is the ICAO airport code for Harry Reid International Airport, the primary commercial airport serving Las Vegas, Nevada.
  • E. KLCK
    KLCK is the ICAO airport code for Rickenbacker International Airport, a cargo-focused and military-use airport near Columbus, Ohio.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9040a8be881908f4841145a7b4e86 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f64826a481908a09ca1c91c4e04f completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:47 p.m.