Triple

T4808265
Position Surface form Disambiguated ID Type / Status
Subject Mimi Fariña E106998 entity
Predicate familyName P18 FINISHED
Object Baez E19458 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: Baez | Statement: [Mimi Fariña, familyName, Baez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baez
Context triple: [Mimi Fariña, familyName, Baez]
  • A. Janis
    Janis is a given name, often used as a variant of Janice, that can be masculine or feminine depending on cultural context.
  • B. Pia Guerra
    Pia Guerra is a Canadian comic book artist best known for her acclaimed work on the Vertigo series "Y: The Last Man."
  • C. Joan Baez chosen
    Joan Baez is an American folk singer, songwriter, and activist renowned for her distinctive soprano voice and prominent role in the 1960s civil rights and anti-war movements.
  • D. Sade
    Sade is a British band fronted by singer Sade Adu, renowned for its smooth blend of soul, jazz, and soft rock, and hits like "Smooth Operator" and "No Ordinary Love."
  • E. Joni
    Joni is a thoughtful, college-bound teenage daughter in the film "The Kids Are All Right," whose curiosity about her sperm-donor father helps drive the story’s family drama.
  • 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_69bd43f779448190b92885cb70abb6c2 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c6a98a481909ef273d9946906a4 completed March 20, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4da6a9b4819083706381a57e2c73 completed March 21, 2026, 7:49 a.m.
Created at: March 20, 2026, 1:23 p.m.