Triple

T11024058
Position Surface form Disambiguated ID Type / Status
Subject Leonardo Bravo E260569 entity
Predicate familyName P18 FINISHED
Object Bravo E65800 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: Bravo | Statement: [Leonardo Bravo, familyName, Bravo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bravo
Context triple: [Leonardo Bravo, familyName, Bravo]
  • A. Bravo chosen
    Bravo is an American cable television network best known for its reality TV programming and pop culture–focused entertainment.
  • B. Brava
    Brava is a small, mountainous island in the Cape Verde archipelago known for its lush vegetation, volcanic landscapes, and traditional Creole culture.
  • C. Bravo24
    Bravo24 is a high-end restaurant located in the W Barcelona hotel, known for its contemporary Mediterranean cuisine and stylish, modern setting.
  • D. Best of the Best
    Best of the Best is a 1989 American martial arts sports drama film about a U.S. taekwondo team competing against South Korea, known for its intense tournament action and ensemble cast.
  • E. The Bravados
    The Bravados is a 1958 American Western film starring Gregory Peck as a vengeful rancher hunting down a group of escaped convicts.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797be9f148190a3a967bad5947496 completed April 9, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3750917d481909e73de0bfae27827 completed April 18, 2026, 12:11 p.m.
Created at: April 8, 2026, 9:25 p.m.