Triple

T21354601
Position Surface form Disambiguated ID Type / Status
Subject Daren Kagasoff E526582 entity
Predicate employer P7 FINISHED
Object ABC Family NE NERFINISHED

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: ABC Family | Statement: [Daren Kagasoff, employer, ABC Family]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ABC Family
Context triple: [Daren Kagasoff, employer, ABC Family]
  • A. ABC Family chosen
    ABC Family was a U.S. cable television network known for family-oriented and teen-focused original series and movies, later rebranded as Freeform.
  • B. ABC Family Original Productions
    ABC Family Original Productions is the in-house production arm of the ABC Family cable network (now Freeform), responsible for developing and producing its original scripted series and movies.
  • C. HBO Family
    HBO Family is a premium, commercial-free television channel from HBO that focuses on family-friendly movies and programming suitable for children and parents.
  • D. 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+.
  • E. Hallmark Channel
    Hallmark Channel is an American cable television network best known for its family-friendly movies, holiday programming, and romantic made-for-TV films.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51cd5cc81909ac1187971e8a8ad completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8af9be3a48190aa8e6e9a5b812981 completed April 22, 2026, 11:23 a.m.
Created at: April 16, 2026, 5:06 p.m.