Triple

T10141788
Position Surface form Disambiguated ID Type / Status
Subject Sean Garrett E231598 entity
Predicate hasWrittenSongsFor P44022 FINISHED
Object Fantasia E755488 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: [Sean Garrett, hasWrittenSongsFor, Fantasia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fantasia
Context triple: [Sean Garrett, hasWrittenSongsFor, Fantasia]
  • A. Fantasia
    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 chosen
    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_69ca848364f881908a24366a6feec1db completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdeb2599e0819090184631e481310c completed April 2, 2026, 4:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e60e51488190a6097837eb3ce18a completed April 5, 2026, 10:45 p.m.
Created at: March 30, 2026, 9:07 p.m.