Triple

T22547084
Position Surface form Disambiguated ID Type / Status
Subject Lieutenant Jean Rasczak E557456 entity
Predicate teacherOf P48 FINISHED
Object Dizzy Flores NE NERFINISHED

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: Dizzy Flores | Statement: [Lieutenant Jean Rasczak, teacherOf, Dizzy Flores]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dizzy Flores
Context triple: [Lieutenant Jean Rasczak, teacherOf, Dizzy Flores]
  • A. Dizzy Flores chosen
    Dizzy Flores is a prominent Mobile Infantry soldier and close companion of Johnny Rico in the military science fiction universe of Starship Troopers.
  • B. Dizzy Cordova
    Dizzy Cordova is a central protagonist in the crime-noir comic series "100 Bullets," known for being offered a chance at violent revenge that pulls her into a vast criminal conspiracy.
  • C. Poncho Sanchez
    Poncho Sanchez is a Grammy-winning American conguero, bandleader, and Latin jazz musician renowned for blending Afro-Cuban rhythms with jazz and soul.
  • D. Carmen Basilio
    Carmen Basilio was an American professional boxer renowned for his rugged, aggressive style and for winning world titles in both the welterweight and middleweight divisions during the 1950s.
  • E. Trini "Gordo" Garcia
    Trini "Gordo" Garcia is a character from the 2014 war film "Fury," which follows a World War II American tank crew.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e58662081909ae346ab384514ca completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f366f208190abbc6eb4780b2d48 completed April 29, 2026, 1:30 a.m.
Created at: April 16, 2026, 8:52 p.m.