Triple

T2662495
Position Surface form Disambiguated ID Type / Status
Subject Chick Hearn E54756 entity
Predicate employer P7 FINISHED
Object KLAC
KLAC is a Los Angeles-based sports radio station best known for broadcasting Los Angeles Lakers games and other local sports coverage.
 E286608 NE FINISHED

How this triple was built (4 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. 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.
  • B. KLAS
    KLAS is the ICAO airport code for Harry Reid International Airport, the primary commercial airport serving Las Vegas, Nevada.
  • C. KLGC
    KLGC is the ICAO airport code for LaGrange–Callaway Airport, a public-use airport serving LaGrange, Georgia, in the United States.
  • D. KL
    KL is the two-letter IATA airline code assigned to KLM Royal Dutch Airlines.
  • E. KL
    KL is the official vehicle registration code assigned to the Indian state of Kerala.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: KLAC
Triple: [Chick Hearn, employer, KLAC]
Generated description
KLAC is a Los Angeles-based sports radio station best known for broadcasting Los Angeles Lakers games and other local sports coverage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KLAC
Target entity description: KLAC is a Los Angeles-based sports radio station best known for broadcasting Los Angeles Lakers games and other local sports coverage.
  • A. 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.
  • B. KLAS
    KLAS is the ICAO airport code for Harry Reid International Airport, the primary commercial airport serving Las Vegas, Nevada.
  • C. KLGC
    KLGC is the ICAO airport code for LaGrange–Callaway Airport, a public-use airport serving LaGrange, Georgia, in the United States.
  • D. KL
    KL is the two-letter IATA airline code assigned to KLM Royal Dutch Airlines.
  • E. KL
    KL is the official vehicle registration code assigned to the Indian state of Kerala.
  • F. None of above. chosen

Provenance (5 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_69ab49e028948190b97e01d73548b1d9 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd969eff08190a206ad6424ba34d6 completed March 7, 2026, 7:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98d9d7148190841bac9589a3815b completed March 10, 2026, 4:06 a.m.
NEDg Description generation batch_69af99c237548190838559ccac95f1c5 completed March 10, 2026, 4:10 a.m.
NED2 Entity disambiguation (via description) batch_69af9a5a8ee8819080d49f13e5b4eab1 completed March 10, 2026, 4:13 a.m.
Created at: March 6, 2026, 9:53 p.m.