Triple

T8394222
Position Surface form Disambiguated ID Type / Status
Subject Bob Schieffer E198012 entity
Predicate employer P7 FINISHED
Object KXAS-TV E1296 NE FINISHED

How this triple was built (2 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: KXAS-TV | Statement: [Bob Schieffer, employer, KXAS-TV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KXAS-TV
Context triple: [Bob Schieffer, employer, KXAS-TV]
  • A. KRLD-TV chosen
    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.
  • B. KTRK-TV
    KTRK-TV is a Houston-based television station serving as the local ABC network affiliate.
  • 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. 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. KSAZ-TV
    KSAZ-TV is a Fox-affiliated television station serving the Phoenix, Arizona market.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82f816bc8190ab321c07d72208c1 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb8185ef60819085cfa7491d35834a completed March 31, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde856a6548190b46e0d8e5cda381b completed April 2, 2026, 3:53 a.m.
Created at: March 30, 2026, 6:03 p.m.