Triple

T2506738
Position Surface form Disambiguated ID Type / Status
Subject HGTV E52601 entity
Predicate foundedBy P104 FINISHED
Object Ken Lowe
Ken Lowe is an American media executive best known for creating and launching the HGTV cable television network.
 E271956 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: Ken Lowe | Statement: [HGTV, foundedBy, Ken Lowe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ken Lowe
Context triple: [HGTV, foundedBy, Ken Lowe]
  • A. David Loughery
    David Loughery is an American screenwriter and producer known for writing thrillers and genre films such as "Passenger 57," "Lakeview Terrace," and "Obsessed."
  • B. Doug Laird
    Doug Laird is a technology entrepreneur best known as one of the founders of the innovative microprocessor company Transmeta.
  • C. Phil Johnston
    Phil Johnston is an American screenwriter and filmmaker known for co-writing animated hits such as Disney's "Zootopia" and "Wreck-It Ralph."
  • D. Roger K. Furse
    Roger K. Furse was a British costume and production designer renowned for his work on classic films, including being among the earliest recipients of the Academy Award for Best Costume Design.
  • E. Don Nicholl
    Don Nicholl was a British-born television writer and producer best known for co-creating influential American sitcoms in the 1970s and 1980s.
  • 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: Ken Lowe
Triple: [HGTV, foundedBy, Ken Lowe]
Generated description
Ken Lowe is an American media executive best known for creating and launching the HGTV cable television network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ken Lowe
Target entity description: Ken Lowe is an American media executive best known for creating and launching the HGTV cable television network.
  • A. David Loughery
    David Loughery is an American screenwriter and producer known for writing thrillers and genre films such as "Passenger 57," "Lakeview Terrace," and "Obsessed."
  • B. Doug Laird
    Doug Laird is a technology entrepreneur best known as one of the founders of the innovative microprocessor company Transmeta.
  • C. Phil Johnston
    Phil Johnston is an American screenwriter and filmmaker known for co-writing animated hits such as Disney's "Zootopia" and "Wreck-It Ralph."
  • D. Roger K. Furse
    Roger K. Furse was a British costume and production designer renowned for his work on classic films, including being among the earliest recipients of the Academy Award for Best Costume Design.
  • E. Don Nicholl
    Don Nicholl was a British-born television writer and producer best known for co-creating influential American sitcoms in the 1970s and 1980s.
  • 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_69ab4958e76481908a235377dd921c9e completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1cfeb408190ba8107296310dbfc completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1fa7dbb88190815087416b207b54 completed March 9, 2026, 7:29 p.m.
NEDg Description generation batch_69af203f7ca08190ba781891bd879192 completed March 9, 2026, 7:32 p.m.
NED2 Entity disambiguation (via description) batch_69af20cd13a88190a35bc1b74ad088ef completed March 9, 2026, 7:34 p.m.
Created at: March 6, 2026, 9:46 p.m.