Triple

T8575335
Position Surface form Disambiguated ID Type / Status
Subject Bill Whitaker E203033 entity
Predicate employer P7 FINISHED
Object WBTV
WBTV is a local television station based in Charlotte, North Carolina, known for its news, weather, and entertainment programming.
E742314 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: WBTV | Statement: [Bill Whitaker, employer, WBTV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WBTV
Context triple: [Bill Whitaker, employer, WBTV]
  • A. WIVB-TV
    WIVB-TV is a television station serving the Buffalo, New York market, known for its local news and CBS-affiliated programming.
  • B. WABI-TV
    WABI-TV is a long-running CBS-affiliated television station serving the Bangor, Maine market with local news, weather, and entertainment programming.
  • C. WJXT
    WJXT is an independent television station in Jacksonville, Florida, known for its local news and public affairs programming.
  • D. WTVT
    WTVT is a Fox-affiliated television station serving the Tampa Bay, Florida market.
  • E. WTVD
    WTVD is a local ABC-affiliated television station serving the Raleigh–Durham (Research Triangle) region of North Carolina.
  • 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: WBTV
Triple: [Bill Whitaker, employer, WBTV]
Generated description
WBTV is a local television station based in Charlotte, North Carolina, known for its news, weather, and entertainment programming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: WBTV
Target entity description: WBTV is a local television station based in Charlotte, North Carolina, known for its news, weather, and entertainment programming.
  • A. WIVB-TV
    WIVB-TV is a television station serving the Buffalo, New York market, known for its local news and CBS-affiliated programming.
  • B. WABI-TV
    WABI-TV is a long-running CBS-affiliated television station serving the Bangor, Maine market with local news, weather, and entertainment programming.
  • C. WJXT
    WJXT is an independent television station in Jacksonville, Florida, known for its local news and public affairs programming.
  • D. WTVT
    WTVT is a Fox-affiliated television station serving the Tampa Bay, Florida market.
  • E. WTVD
    WTVD is a local ABC-affiliated television station serving the Raleigh–Durham (Research Triangle) region of North Carolina.
  • 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_69ca8328ebe481909a8c038fa79959b4 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbea9638c081909a537cc44e485bee completed March 31, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce8995d1d081909f6a27220c2c267e completed April 2, 2026, 3:21 p.m.
NEDg Description generation batch_69ce8a9ea8308190b09debb8113bc963 completed April 2, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_69ce8b0f5dc8819087882c27b27d9a7f completed April 2, 2026, 3:28 p.m.
Created at: March 30, 2026, 6:21 p.m.