Triple

T11773381
Position Surface form Disambiguated ID Type / Status
Subject Tony Montana E279955 entity
Predicate relative P37 FINISHED
Object Gina Montana E307997 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: Gina Montana | Statement: [Tony Montana, relative, Gina Montana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gina Montana
Context triple: [Tony Montana, relative, Gina Montana]
  • A. Gina chosen
    Gina is a feminine given name commonly used in English and Italian-speaking countries, often as a short form of names like Regina, Georgina, or Luigina.
  • B. Gina Shay
    Gina Shay is an American film producer best known for her work on animated features at DreamWorks Animation, including the hit musical comedy "Trolls."
  • C. Glennis
    Glennis is a feminine given name, best known for belonging to Glennis Dickhouse Yeager, the wife of test pilot Chuck Yeager and namesake of the Bell X-1 aircraft "Glamorous Glennis."
  • D. Jeanie Frost
    Jeanie Frost is a person known primarily as the sibling of Elliott Frost.
  • E. Claretta
    Claretta was the nickname of Claretta Petacci, the Italian mistress of dictator Benito Mussolini who was executed alongside him in 1945.
  • 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.