Triple

T7672108
Position Surface form Disambiguated ID Type / Status
Subject Sneezy E173772 entity
Predicate memberOf P10 FINISHED
Object Seven Dwarfs E32170 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: Seven Dwarfs | Statement: [Sneezy, memberOf, Seven Dwarfs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seven Dwarfs
Context triple: [Sneezy, memberOf, Seven Dwarfs]
  • A. Snow White and the Seven Dwarfs chosen
    Snow White and the Seven Dwarfs is a 1937 American animated musical fantasy film widely recognized as the first full-length cel-animated feature in motion picture history.
  • B. Woodmansterne
    Woodmansterne is a village and residential area in the borough of Reigate and Banstead in Surrey, England.
  • C. Snow White
    Snow White is the kind-hearted princess and central heroine of Disney’s classic 1937 animated film "Snow White and the Seven Dwarfs," renowned as the studio’s first feature-length animated character.
  • D. Blancanieves
    Blancanieves is a 2012 Spanish silent black-and-white fantasy drama film that reimagines the Snow White fairy tale in 1920s Spain.
  • E. Hansel & Gretel
    Hansel & Gretel is a popular ballet adaptation of the classic Brothers Grimm fairy tale about two siblings who outwit a witch in a magical forest.
  • 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_69c699562484819086752091e3164a27 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701de94208190a7627521211452dc completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8d6a339a48190936b962579d2d5a5 completed March 29, 2026, 7:37 a.m.
Created at: March 27, 2026, 4 p.m.