Triple

T8963169
Position Surface form Disambiguated ID Type / Status
Subject Bob Crane E214059 entity
Predicate employer P7 FINISHED
Object KXLA
KXLA is a television station based in Los Angeles, California, known for broadcasting a variety of multicultural and multilingual programming.
 E770070 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: KXLA | Statement: [Bob Crane, employer, KXLA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KXLA
Context triple: [Bob Crane, employer, KXLA]
  • A. KRDG
    KRDG is the ICAO airport code for Reading Regional Airport, a public airport serving Reading, Pennsylvania, in the United States.
  • B. KPHX
    KPHX is the ICAO airport code for Phoenix Sky Harbor International Airport, a major commercial airport serving the Phoenix, Arizona metropolitan area.
  • C. KALB
    KALB is the ICAO airport code for Albany International Airport, a major commercial airport serving New York’s Capital Region.
  • D. KLNC
    KLNC is the ICAO airport code for Lancaster Regional Airport, a public aviation facility serving Lancaster, Texas.
  • E. KAKR
    KAKR is the ICAO airport code for Akron Fulton International Airport, a public airport serving Akron, Ohio, in the United States.
  • 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: KXLA
Triple: [Bob Crane, employer, KXLA]
Generated description
KXLA is a television station based in Los Angeles, California, known for broadcasting a variety of multicultural and multilingual programming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KXLA
Target entity description: KXLA is a television station based in Los Angeles, California, known for broadcasting a variety of multicultural and multilingual programming.
  • A. KRDG
    KRDG is the ICAO airport code for Reading Regional Airport, a public airport serving Reading, Pennsylvania, in the United States.
  • B. KPHX
    KPHX is the ICAO airport code for Phoenix Sky Harbor International Airport, a major commercial airport serving the Phoenix, Arizona metropolitan area.
  • C. KALB
    KALB is the ICAO airport code for Albany International Airport, a major commercial airport serving New York’s Capital Region.
  • D. KLNC
    KLNC is the ICAO airport code for Lancaster Regional Airport, a public aviation facility serving Lancaster, Texas.
  • E. KAKR
    KAKR is the ICAO airport code for Akron Fulton International Airport, a public airport serving Akron, Ohio, in the United States.
  • 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_69ca839cd6008190a1546a701a56710c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc674b06f08190b2d992674a093592 completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc9512eec8190963aa68108691f7f completed April 3, 2026, 2:06 p.m.
NEDg Description generation batch_69cfcb178d488190ab8ea897f964c10a completed April 3, 2026, 2:13 p.m.
NED2 Entity disambiguation (via description) batch_69cfcc1bb3248190ac94ed37be2dcde4 completed April 3, 2026, 2:18 p.m.
Created at: March 30, 2026, 7:01 p.m.