Triple

T8979022
Position Surface form Disambiguated ID Type / Status
Subject Alex Alvarez E214472 entity
Predicate hasSister P31639 FINISHED
Object Elena Alvarez E188409 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: Elena Alvarez | Statement: [Alex Alvarez, hasSister, Elena Alvarez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elena Alvarez
Context triple: [Alex Alvarez, hasSister, Elena Alvarez]
  • A. Elena Alvarez chosen
    Elena Alvarez is a socially conscious, feminist teenage daughter in the Cuban-American family at the heart of the sitcom "One Day at a Time" (2017).
  • B. Elena Ruiz
    Elena Ruiz is a film editor best known for her work on the acclaimed Spanish horror film "The Orphanage."
  • C. Elena Flores
    Elena Flores is a Spanish politician who succeeded Marta Fernández Miranda in public office.
  • D. Elena García
    Elena García is a common Spanish personal name shared by multiple notable individuals across fields such as science, arts, and public life.
  • E. Maria Vargas
    Maria Vargas is the charismatic Spanish dancer-turned-film-star at the center of the 1954 drama "The Barefoot Contessa," whose rise to fame and tragic fate drive the film's narrative.
  • 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_69ca839ea8b88190922c6a326ffcc0d3 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67a4b3e88190b778a9b5589cab6d completed April 1, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0543acf50819091d0d831a106e169 completed April 3, 2026, 11:58 p.m.
Created at: March 30, 2026, 7:03 p.m.