Triple

T13849564
Position Surface form Disambiguated ID Type / Status
Subject Miguel Ferrer E332897 entity
Predicate sibling P363 FINISHED
Object Gabriel Ferrer E640836 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: Gabriel Ferrer | Statement: [Miguel Ferrer, sibling, Gabriel Ferrer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gabriel Ferrer
Context triple: [Miguel Ferrer, sibling, Gabriel Ferrer]
  • A. Gabriel Ferrer chosen
    Gabriel Ferrer is an American Episcopal priest and actor, known as the son of Oscar-winning actor José Ferrer and singer Rosemary Clooney.
  • B. Frank Ferrer
    Frank Ferrer is an American rock drummer best known as the longtime drummer for the band Guns N' Roses.
  • C. Gabriel Basso
    Gabriel Basso is an American actor known for his roles in films like "Super 8" and the Netflix series "The Night Agent."
  • D. Juan Diego Botto
    Juan Diego Botto is an Argentine-Spanish actor known for his work in film, television, and theater, including prominent roles in international TV dramas.
  • E. Diego Funes
    Diego Funes is known as the son of Mauricio Funes, the former president of El Salvador.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02d8fb788190baef7537be2baecb completed April 14, 2026, 9:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce6c0c3c8190911b56b20c9eb955 completed May 3, 2026, 10:38 p.m.
Created at: April 9, 2026, 10:14 p.m.