Triple

T6204727
Position Surface form Disambiguated ID Type / Status
Subject David Susskind E138718 entity
Predicate employer P7 FINISHED
Object Talent Associates E509056 NE FINISHED

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: Talent Associates | Statement: [David Susskind, employer, Talent Associates]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Talent Associates
Context triple: [David Susskind, employer, Talent Associates]
  • A. Talent Associates chosen
    Talent Associates was an American television and film production company active in the mid-20th century, known for producing a range of popular and critically acclaimed TV series.
  • B. United Talent Agency
    United Talent Agency is a major Hollywood talent and entertainment agency representing actors, writers, directors, and other creative professionals across film, television, and related media.
  • C. Towers Watson
    Towers Watson was a global professional services firm specializing in risk management, insurance brokerage, and human capital consulting.
  • D. Bennetts Associates
    Bennetts Associates is a British architectural practice known for its innovative and sustainable designs for major cultural and public buildings.
  • E. Drew Associates
    Drew Associates was a pioneering American documentary film production company known for helping to establish the Direct Cinema movement in the 1960s through its innovative, observational style of filmmaking.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c008acbea48190991c6b834bb45d65 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0626d96ec8190816c00c44668177d completed March 22, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f412d848190a8e78ad7822aa399 completed March 23, 2026, 4:50 p.m.
Created at: March 22, 2026, 4:20 p.m.