Triple

T12300142
Position Surface form Disambiguated ID Type / Status
Subject Jennifer Miller E293196 entity
Predicate memberOfFamily P10 FINISHED
Object Disney family E284161 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: Disney family | Statement: [Jennifer Miller, memberOfFamily, Disney family]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Disney family
Context triple: [Jennifer Miller, memberOfFamily, Disney family]
  • A. Disney family chosen
    The Disney family is the prominent American family best known for its central role in founding and shaping The Walt Disney Company and its entertainment legacy.
  • B. Disney
    Disney is a major American entertainment conglomerate best known for its animated films, theme parks, and iconic characters such as Mickey Mouse.
  • C. Disney Entertainment
    Disney Entertainment is a division of The Walt Disney Company that oversees its core film, television, and streaming content businesses.
  • D. Disney media franchises
    Disney media franchises are a collection of interconnected entertainment properties and brands created or owned by The Walt Disney Company, spanning films, television, merchandise, theme parks, and other media.
  • E. Toon Disney
    Toon Disney was a cable television channel that specialized in airing animated series and movies from Disney’s extensive cartoon library.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93edb59908190bcef9d0cdc11081f completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a9b8ef88190bce122f1b1800cd4 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:53 p.m.