Triple

T18048557
Position Surface form Disambiguated ID Type / Status
Subject Aries E431865 entity
Predicate producer P490 FINISHED
Object Kiko Cibrian 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: Kiko Cibrian | Statement: [Aries, producer, Kiko Cibrian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiko Cibrian
Context triple: [Aries, producer, Kiko Cibrian]
  • A. Kiko Cibrian chosen
    Kiko Cibrian is a Mexican musician, composer, and record producer best known for his influential work in Latin pop, particularly through collaborations with artists like Luis Miguel.
  • B. Migo Salazar
    Migo Salazar is a fictional character from the American sitcom "Running Wilde," known for his involvement in the show's eccentric and comedic situations.
  • C. Rico Bandello
    Rico Bandello is the ruthless, ambitious gangster protagonist of the classic 1931 crime film "Little Caesar," often cited as one of cinema’s earliest and most influential mob antiheroes.
  • D. Pete Parada
    Pete Parada is an American rock drummer best known for his long tenure with the punk rock band The Offspring and work with groups like Face to Face and Saves the Day.
  • E. Ryan Agoncillo
    Ryan Agoncillo is a Filipino actor, television host, and model best known for his work on popular variety and talk shows in the Philippines.
  • 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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4bff39394819080407e1614bd5da9 completed April 19, 2026, 11:43 a.m.
Created at: April 10, 2026, 10:25 a.m.