Triple

T13057745
Position Surface form Disambiguated ID Type / Status
Subject Sorcerer Mickey E327621 entity
Predicate appearsIn P795 FINISHED
Object Fantasia E59661 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: Fantasia | Statement: [Sorcerer Mickey, appearsIn, Fantasia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fantasia
Context triple: [Sorcerer Mickey, appearsIn, Fantasia]
  • A. Fantasia chosen
    Fantasia is a groundbreaking 1940 animated musical film by Walt Disney that combines classical music with innovative animation in a series of imaginative segments.
  • B. Fantasia
    Fantasia is an experimental music collective known for its avant-garde collaborations and innovative sound explorations.
  • C. Fantasia
    Fantasia is an American R&B and soul singer who rose to fame as the winner of the third season of "American Idol" and is known for her powerful, gospel-infused vocals.
  • D. Fantasia (album)
    Fantasia is the self-titled second studio album by American Idol winner Fantasia Barrino, showcasing her blend of R&B, soul, and contemporary urban music.
  • E. Dumbo
    Dumbo is the nickname of the Curtiss C-46 Commando, a World War II-era American military transport aircraft known for its large cargo capacity and service in challenging flying conditions.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980bd305c8190bcf191b2d35ec8de completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbe0bf3081909ff498ac66cb2aa6 completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:58 p.m.