Triple

T14192318
Position Surface form Disambiguated ID Type / Status
Subject John Gotti E351742 entity
Predicate nickname P55 FINISHED
Object The Teflon Don E368526 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: The Teflon Don | Statement: [John Gotti, nickname, The Teflon Don]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Teflon Don
Context triple: [John Gotti, nickname, The Teflon Don]
  • A. Teflon Don chosen
    Teflon Don is a 2010 studio album by American rapper Rick Ross that helped solidify his reputation for luxurious, cinematic Southern hip hop.
  • B. Life of a Don
    Life of a Don is a studio album by American rapper and singer Don Toliver that showcases his melodic trap style and atmospheric production.
  • C. The Gangster
    The Gangster is a 1947 American film noir crime drama noted for its stylized cinematography and bleak portrayal of a small-time racketeer’s downfall.
  • D. Crime Pays
    Crime Pays is a 2009 studio album by Harlem rapper Cam'ron, known for its gritty street narratives and return-to-form sound.
  • E. The Racketeer
    The Racketeer is a legal thriller novel by John Grisham that follows a wrongfully imprisoned lawyer who leverages inside knowledge of a federal judge’s murder to bargain for his freedom and revenge.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61e0a52081908213aa6e548d4418 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd194951d481909a8e81f2d09feefa completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:04 a.m.