Triple

T11773369
Position Surface form Disambiguated ID Type / Status
Subject Tony Montana E279955 entity
Predicate basedOn P98 FINISHED
Object Tony Camonte E432722 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: Tony Camonte | Statement: [Tony Montana, basedOn, Tony Camonte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Camonte
Context triple: [Tony Montana, basedOn, Tony Camonte]
  • A. Tony Camonte chosen
    Tony Camonte is the ruthless, ambitious gangster protagonist of the 1932 film "Scarface," loosely inspired by Al Capone.
  • B. Todd Worrell
    Todd Worrell is a former Major League Baseball relief pitcher best known as the St. Louis Cardinals’ hard-throwing closer of the late 1980s and early 1990s.
  • C. Richie Giachetti
    Richie Giachetti was a prominent American boxing trainer best known for working with heavyweight champions such as Larry Holmes and Mike Tyson.
  • D. Russell Dykstra
    Russell Dykstra is an Australian actor known for his work in film, television, and theatre, including acclaimed performances in Australian cinema.
  • E. Eric Karros
    Eric Karros is a former Major League Baseball first baseman best known for his long tenure with the Los Angeles Dodgers, during which he won the 1992 National League Rookie of the Year Award.
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a55dfa088190a59b35d0247225e3 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f0909969e481908d836f912b5af5bf completed April 28, 2026, 10:48 a.m.
Created at: April 8, 2026, 9:41 p.m.