Triple

T13474177
Position Surface form Disambiguated ID Type / Status
Subject Fats Wall E318207 entity
Predicate nickname P55 FINISHED
Object Fats E853484 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: Fats | Statement: [Fats Wall, nickname, Fats]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fats
Context triple: [Fats Wall, nickname, Fats]
  • A. Fats chosen
    Fats was the nickname of Thomas "Fats" Waller, a celebrated American jazz pianist, organist, composer, and entertainer known for his stride piano style and humorous performances.
  • B. Fatty
    Fatty is a central child detective character in Enid Blyton’s “Mystery Series,” known for his sharp intelligence, leadership, and talent for solving complex mysteries.
  • C. Fatty
    Fatty is a central character in Bertolt Brecht and Kurt Weill’s opera "Rise and Fall of the City of Mahagonny," often depicted as a cynical, profit-driven figure embodying the corruption and moral decay of the fictional city.
  • D. Fat
    "Fat" is a 1988 comedy parody song by "Weird Al" Yankovic that spoofs Michael Jackson's "Bad" by humorously exaggerating themes of obesity.
  • E. Fatlip
    Fatlip is an American rapper best known as a former member of the influential alternative hip hop group The Pharcyde.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf2447bc81908baf1f4b55095144 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7462f94988190a857fa8cd32cdd0a completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:42 p.m.