Triple

T8171483
Position Surface form Disambiguated ID Type / Status
Subject Roz Doyle E190830 entity
Predicate employer P7 FINISHED
Object KACL E686157 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: KACL | Statement: [Roz Doyle, employer, KACL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KACL
Context triple: [Roz Doyle, employer, KACL]
  • A. KLAC
    KLAC is a Los Angeles-based sports radio station best known for broadcasting Los Angeles Lakers games and other local sports coverage.
  • B. KCAK
    KCAK is the ICAO airport code for Akron–Canton Airport, a commercial airport serving the Akron and Canton regions of Ohio, USA.
  • C. KAC
    KAC is the acronym for Korea Airports Corporation, the South Korean government-owned company that manages and operates many of the nation’s domestic airports.
  • D. 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.
  • E. KACL radio station chosen
    KACL radio station is the fictional Seattle talk-radio station where Dr. Frasier Crane hosts his call-in psychiatry show in the TV series "Frasier."
  • 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_69ca82c1c0a08190bf8692b4d91a03ca completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb48056d0c819094575090a41e0083 completed March 31, 2026, 4:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced5a4398819085364b3a45a85941 completed April 1, 2026, 10:03 a.m.
Created at: March 30, 2026, 5:39 p.m.