Triple

T2703954
Position Surface form Disambiguated ID Type / Status
Subject PBS NewsHour E59298 entity
Predicate producer P490 FINISHED
Object WNET
WNET is a major New York City public television station and one of the primary flagship producers of national programming for PBS.
 E290882 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: WNET | Statement: [PBS NewsHour, producer, WNET]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WNET
Context triple: [PBS NewsHour, producer, WNET]
  • A. WCBS-TV
    WCBS-TV is the primary New York City television station of the CBS network, serving as its main owned-and-operated outlet.
  • B. WABC-TV
    WABC-TV is a New York City-based ABC-owned television station that produces and broadcasts local and nationally syndicated programming.
  • C. WCVB-TV
    WCVB-TV is a Boston-based television station serving as the ABC network affiliate for the Greater Boston area.
  • D. WNYE-TV
    WNYE-TV is a non-commercial educational television station serving the New York City area, operated by NYC Media and known for its locally focused and multicultural programming.
  • E. WWOR-TV
    WWOR-TV is a New York–area television station, historically known as a major independent and later network-affiliated outlet serving the New York City metropolitan market.
  • 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: WNET
Triple: [PBS NewsHour, producer, WNET]
Generated description
WNET is a major New York City public television station and one of the primary flagship producers of national programming for PBS.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WNET
Target entity description: WNET is a major New York City public television station and one of the primary flagship producers of national programming for PBS.
  • A. WCBS-TV
    WCBS-TV is the primary New York City television station of the CBS network, serving as its main owned-and-operated outlet.
  • B. WABC-TV
    WABC-TV is a New York City-based ABC-owned television station that produces and broadcasts local and nationally syndicated programming.
  • C. WCVB-TV
    WCVB-TV is a Boston-based television station serving as the ABC network affiliate for the Greater Boston area.
  • D. WNYE-TV
    WNYE-TV is a non-commercial educational television station serving the New York City area, operated by NYC Media and known for its locally focused and multicultural programming.
  • E. WWOR-TV
    WWOR-TV is a New York–area television station, historically known as a major independent and later network-affiliated outlet serving the New York City metropolitan market.
  • 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_69ab4ac66bc88190b9e4afa5fc843f72 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda518c58819096c8b67c0f754655 completed March 7, 2026, 7:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf76caec8190930ead7931f7ea91 completed March 10, 2026, 5:43 a.m.
NEDg Description generation batch_69afb01c248c81909af7358da96aa588 completed March 10, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69afb0ae71888190ab0675b7897f1589 completed March 10, 2026, 5:48 a.m.
Created at: March 6, 2026, 9:55 p.m.