Triple

T13303603
Position Surface form Disambiguated ID Type / Status
Subject Jac Holzman E316875 entity
Predicate employer P7 FINISHED
Object Warner Communications E20851 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: Warner Communications | Statement: [Jac Holzman, employer, Warner Communications]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warner Communications
Context triple: [Jac Holzman, employer, Warner Communications]
  • A. Warner Communications chosen
    Warner Communications was a major American media and entertainment conglomerate that became a core component of the later Time Warner corporation.
  • B. Paramount Communications
    Paramount Communications was a major American media and entertainment conglomerate that owned film, television, publishing, and theme park assets before being acquired by Viacom in the 1990s.
  • C. Time Warner
    Time Warner was a major American media and entertainment conglomerate known for owning prominent film, television, and publishing assets such as Warner Bros., HBO, and CNN.
  • D. Warner
    Warner is a common English surname borne by numerous notable individuals across literature, entertainment, sports, and public life.
  • E. Warner
    Warner is a small town located in Muskogee County in the state of Oklahoma, United States.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990a60eb08190bf0dc098ca7dc342 completed April 11, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716e161008190a48275ef54225d56 completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:28 p.m.