Triple

T11200170
Position Surface form Disambiguated ID Type / Status
Subject Angel Eyes E265017 entity
Predicate associatedWith P37 FINISHED
Object Tuco E265018 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: Tuco | Statement: [Angel Eyes, associatedWith, Tuco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tuco
Context triple: [Angel Eyes, associatedWith, Tuco]
  • A. Tuco chosen
    Tuco is a cunning, comically talkative Mexican bandit and one of the three central gunslingers in the classic Spaghetti Western film "The Good, the Bad and the Ugly."
  • B. Corvo Attano
    Corvo Attano is the silent, masked royal protector-turned-assassin and primary playable protagonist of the Dishonored video game series.
  • C. Raymundo
    Raymundo is a masculine given name, commonly used in Spanish- and Portuguese-speaking cultures, that is related to the name Ramón.
  • D. Rico
    Rico is a character from the comedy film "Hot Rod," known as one of Rod Kimble’s eccentric stunt-team friends.
  • E. Rico
    Rico is the nickname of Rico Petrocelli, a former Major League Baseball shortstop and third baseman best known for his career with the Boston Red Sox in the 1960s and 1970s.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8c1e9f88190b2b42326aba9d778 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad0984e08190af9c8263cc2a079d completed April 19, 2026, 10:23 a.m.
Created at: April 8, 2026, 9:29 p.m.