Triple

T23317521
Position Surface form Disambiguated ID Type / Status
Subject Kimberly Caldwell E590749 entity
Predicate employer P7 FINISHED
Object Ovation TV
Ovation TV is an American television network focused on arts, culture, and entertainment programming.
E1580972 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: Ovation TV | Statement: [Kimberly Caldwell, employer, Ovation TV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ovation TV
Context triple: [Kimberly Caldwell, employer, Ovation TV]
  • A. Acorn TV
    Acorn TV is a subscription streaming service specializing in British and international television dramas, mysteries, and comedies.
  • B. Box TV
    Box TV is a British television production company known for creating drama and factual programming for UK broadcasters.
  • C. Epix
    Epix was a premium American cable and streaming television network known for airing recent Hollywood films, original series, and specials before being rebranded as MGM+.
  • D. Maverick Television
    Maverick Television is a British television production company known for creating popular factual and entertainment programming.
  • E. Showtime
    Showtime is an American premium cable and streaming network known for its original, often edgy series, films, and sports 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: Ovation TV
Triple: [Kimberly Caldwell, employer, Ovation TV]
Generated description
Ovation TV is an American television network focused on arts, culture, and entertainment programming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ovation TV
Target entity description: Ovation TV is an American television network focused on arts, culture, and entertainment programming.
  • A. Acorn TV
    Acorn TV is a subscription streaming service specializing in British and international television dramas, mysteries, and comedies.
  • B. Box TV
    Box TV is a British television production company known for creating drama and factual programming for UK broadcasters.
  • C. Epix
    Epix was a premium American cable and streaming television network known for airing recent Hollywood films, original series, and specials before being rebranded as MGM+.
  • D. Maverick Television
    Maverick Television is a British television production company known for creating popular factual and entertainment programming.
  • E. Showtime
    Showtime is an American premium cable and streaming network known for its original, often edgy series, films, and sports 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_69e25d1d32188190948eb76909d1dcc3 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f197828c408190ae071624e40de4cc completed April 29, 2026, 5:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c4ca60aac819088dafd529a37d2e3 completed May 19, 2026, 11:42 a.m.
NEDg Description generation batch_6a0c4f37e390819083df9a959acf3a32 completed May 19, 2026, 11:53 a.m.
NED2 Entity disambiguation (via description) batch_6a0c4fdafde88190a7ac791189acde68 completed May 19, 2026, 11:56 a.m.
Created at: April 17, 2026, 5:06 p.m.