Triple

T8190478
Position Surface form Disambiguated ID Type / Status
Subject Pam Oliver E191289 entity
Predicate employer P7 FINISHED
Object KHOU-TV
KHOU-TV is a CBS-affiliated television station serving the Houston, Texas market with local news, weather, and entertainment programming.
E718231 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: KHOU-TV | Statement: [Pam Oliver, employer, KHOU-TV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KHOU-TV
Context triple: [Pam Oliver, employer, KHOU-TV]
  • A. KHOU
    KHOU is the ICAO airport code for William P. Hobby Airport, a major public airport serving Houston, Texas.
  • B. KTRK-TV
    KTRK-TV is a Houston-based television station serving as the local ABC network affiliate.
  • C. KRLD-TV
    KRLD-TV is a Dallas–Fort Worth television station historically known for its local news coverage and role in reporting major events such as the assassination of President John F. Kennedy.
  • D. KTRK
    KTRK is the ICAO airport code for Truckee Tahoe Airport, a public general aviation airport serving the Truckee and Lake Tahoe region in California.
  • E. KTHV
    KTHV is a television station based in Little Rock, Arkansas, that serves as the local CBS affiliate.
  • 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: KHOU-TV
Triple: [Pam Oliver, employer, KHOU-TV]
Generated description
KHOU-TV is a CBS-affiliated television station serving the Houston, Texas market with local news, weather, and entertainment programming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KHOU-TV
Target entity description: KHOU-TV is a CBS-affiliated television station serving the Houston, Texas market with local news, weather, and entertainment programming.
  • A. KHOU
    KHOU is the ICAO airport code for William P. Hobby Airport, a major public airport serving Houston, Texas.
  • B. KTRK-TV
    KTRK-TV is a Houston-based television station serving as the local ABC network affiliate.
  • C. KRLD-TV
    KRLD-TV is a Dallas–Fort Worth television station historically known for its local news coverage and role in reporting major events such as the assassination of President John F. Kennedy.
  • D. KTRK
    KTRK is the ICAO airport code for Truckee Tahoe Airport, a public general aviation airport serving the Truckee and Lake Tahoe region in California.
  • E. KTHV
    KTHV is a television station based in Little Rock, Arkansas, that serves as the local CBS affiliate.
  • 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_69ca82c5b6948190a583c096fb0a6c71 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4da2f4108190b9b69cb7f41ef374 completed March 31, 2026, 4:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced979d408190851088c6d3f4df24 completed April 1, 2026, 10:04 a.m.
NEDg Description generation batch_69ccf1b5f95481909fdb08d00d06023e completed April 1, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_69cd059457788190a900402ee4cd50d5 completed April 1, 2026, 11:46 a.m.
Created at: March 30, 2026, 5:41 p.m.