Triple

T16544194
Position Surface form Disambiguated ID Type / Status
Subject Jane Skinner E401898 entity
Predicate employer P7 FINISHED
Object KMOV
KMOV is a television station in St. Louis, Missouri, that serves as the local CBS network affiliate.
E1220007 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: KMOV | Statement: [Jane Skinner, employer, KMOV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KMOV
Context triple: [Jane Skinner, employer, KMOV]
  • A. KHOU
    KHOU is the ICAO airport code for William P. Hobby Airport, a major public airport serving Houston, Texas.
  • B. KETV
    KETV is a television station in Omaha, Nebraska, best known as the local ABC network affiliate providing news, weather, and entertainment programming.
  • C. KMBC-TV
    KMBC-TV is a television station in Kansas City, Missouri, known for its local news and sports coverage, including long-time association with former Chiefs quarterback and broadcaster Len Dawson.
  • D. KTHV
    KTHV is a television station based in Little Rock, Arkansas, that serves as the local CBS affiliate.
  • E. KHOU-TV
    KHOU-TV is a CBS-affiliated television station serving the Houston, Texas market with local news, weather, and entertainment programming.
  • 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: KMOV
Triple: [Jane Skinner, employer, KMOV]
Generated description
KMOV is a television station in St. Louis, Missouri, that serves as the local CBS network affiliate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KMOV
Target entity description: KMOV is a television station in St. Louis, Missouri, that serves as the local CBS network affiliate.
  • A. KHOU
    KHOU is the ICAO airport code for William P. Hobby Airport, a major public airport serving Houston, Texas.
  • B. KETV
    KETV is a television station in Omaha, Nebraska, best known as the local ABC network affiliate providing news, weather, and entertainment programming.
  • C. KMBC-TV
    KMBC-TV is a television station in Kansas City, Missouri, known for its local news and sports coverage, including long-time association with former Chiefs quarterback and broadcaster Len Dawson.
  • D. KTHV
    KTHV is a television station based in Little Rock, Arkansas, that serves as the local CBS affiliate.
  • E. KHOU-TV
    KHOU-TV is a CBS-affiliated television station serving the Houston, Texas market with local news, weather, and entertainment programming.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34560daf08190b353b415d8ab280d completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067b3248c8190b63793bfc072aa4f completed May 10, 2026, 11:10 a.m.
NEDg Description generation batch_6a0069d3b1c4819093c99516843cace6 completed May 10, 2026, 11:19 a.m.
NED2 Entity disambiguation (via description) batch_6a006a4febf0819090471a73e88fdaf2 completed May 10, 2026, 11:21 a.m.
Created at: April 10, 2026, 5:15 a.m.