Triple

T14586109
Position Surface form Disambiguated ID Type / Status
Subject Isabela Madrigal E342318 entity
Predicate singerVoiceActor P114957 FINISHED
Object Diane Guerrero E342316 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: Diane Guerrero | Statement: [Isabela Madrigal, singerVoiceActor, Diane Guerrero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diane Guerrero
Context triple: [Isabela Madrigal, singerVoiceActor, Diane Guerrero]
  • A. Diane Guerrero chosen
    Diane Guerrero is an American actress and author best known for her roles in the television series "Orange Is the New Black" and "Jane the Virgin," as well as her voice work in animated films.
  • B. Úrsula Corberó
    Úrsula Corberó is a Spanish actress best known internationally for her role as Tokyo in the hit television series "Money Heist."
  • C. Melissa Barrera
    Melissa Barrera is a Mexican actress and singer best known internationally for her leading roles in the horror franchise Scream and the musical film In the Heights.
  • D. Xochitl Gomez
    Xochitl Gomez is an American actress best known for playing the multiverse-traveling teen hero America Chavez in the Marvel Cinematic Universe.
  • E. Zabryna Guevara
    Zabryna Guevara is an American actress known for her roles in television series such as "Gotham" and "Emergence," as well as her work in film and theater.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb421bb308190a457425429ef6aa5 completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda9167b888190abb8f301b0c7c55b completed May 8, 2026, 9:12 a.m.
Created at: April 10, 2026, 1:24 a.m.