Triple

T183917
Position Surface form Disambiguated ID Type / Status
Subject ABC E3937 entity
Predicate hasDivision P35 FINISHED
Object ABC Entertainment E28997 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: ABC Entertainment | Statement: [ABC, hasDivision, ABC Entertainment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ABC Entertainment
Context triple: [ABC, hasDivision, ABC Entertainment]
  • A. American Broadcasting Company chosen
    The American Broadcasting Company is a major U.S. commercial television network known for its nationwide programming in news, entertainment, and sports.
  • B. Turner Broadcasting System
    Turner Broadcasting System is a major American media company best known for operating cable television networks such as CNN, TBS, and TNT.
  • C. Warner Communications
    Warner Communications was a major American media and entertainment conglomerate that became a core component of the later Time Warner corporation.
  • D. The Walt Disney Company
    The Walt Disney Company is a global entertainment conglomerate known for its iconic animated films, theme parks, media networks, and consumer products.
  • E. Fox Broadcasting Company
    Fox Broadcasting Company is a major American television network known for its prime-time entertainment programming, including hit series, sports broadcasts, and news.
  • 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_69a25497e2f08190a040f8c6e1842643 completed Feb. 28, 2026, 2:36 a.m.
NER Named-entity recognition batch_69a25926be9c8190a4cfce66f57589d1 completed Feb. 28, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69a35e9fb768819087282451ec8051b0 completed Feb. 28, 2026, 9:31 p.m.
Created at: Feb. 28, 2026, 2:40 a.m.