Triple

T12136101
Position Surface form Disambiguated ID Type / Status
Subject Bill Roberts E289060 entity
Predicate notableWork P4 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: [Bill Roberts, notableWork, Fantasia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fantasia
Context triple: [Bill Roberts, notableWork, Fantasia]
  • A. 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.
  • B. 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.
  • C. Fantasia
    Fantasia is an experimental music collective known for its avant-garde collaborations and innovative sound explorations.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158dd00c819082651891898b91bb completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c60a7d081908e402c15b7e38596 completed May 2, 2026, 10:36 p.m.
Created at: April 8, 2026, 9:49 p.m.