Triple

T17214146
Position Surface form Disambiguated ID Type / Status
Subject Tamron Hall E417808 entity
Predicate employer P7 FINISHED
Object KTVT
KTVT is a CBS-owned television station serving the Dallas–Fort Worth metropolitan area in Texas.
E1258732 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: KTVT | Statement: [Tamron Hall, employer, KTVT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KTVT
Context triple: [Tamron Hall, employer, KTVT]
  • A. KTRK-TV
    KTRK-TV is a Houston-based television station serving as the local ABC network affiliate.
  • B. 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.
  • C. 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.
  • D. KPRC-TV
    KPRC-TV is a major NBC-affiliated television station serving the Houston, Texas market.
  • 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: KTVT
Triple: [Tamron Hall, employer, KTVT]
Generated description
KTVT is a CBS-owned television station serving the Dallas–Fort Worth metropolitan area in Texas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KTVT
Target entity description: KTVT is a CBS-owned television station serving the Dallas–Fort Worth metropolitan area in Texas.
  • A. KTRK-TV
    KTRK-TV is a Houston-based television station serving as the local ABC network affiliate.
  • B. 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.
  • C. 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.
  • D. KPRC-TV
    KPRC-TV is a major NBC-affiliated television station serving the Houston, Texas market.
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dc795d08190b90801a4f8b23afe completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170eb9954819085e8c078cf137dc5 completed May 11, 2026, 6:02 a.m.
NEDg Description generation batch_6a017293d9588190a05faed14c668cc0 completed May 11, 2026, 6:09 a.m.
NED2 Entity disambiguation (via description) batch_6a0173423b448190816d10ad7b06da17 completed May 11, 2026, 6:12 a.m.
Created at: April 10, 2026, 5:38 a.m.