Triple

T21811624
Position Surface form Disambiguated ID Type / Status
Subject ¡Ay, Carmela! (film) E538487 entity
Predicate mainCharacter P1183 FINISHED
Object Carmela 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: Carmela | Statement: [¡Ay, Carmela! (film), mainCharacter, Carmela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carmela
Context triple: [¡Ay, Carmela! (film), mainCharacter, Carmela]
  • A. Carmela chosen
    Carmela is a feminine given name of Latin origin, commonly used in Spanish- and Italian-speaking countries and often associated with religious and cultural traditions.
  • B. Rosita
    Rosita is a shy but talented pig and devoted mother who becomes a standout performer in the animated musical film "Sing."
  • C. Rosita
    Rosita is a companion character who appears alongside the Doctor in the "Doctor Who" special episode "The Next Doctor."
  • D. Rosita
    Rosita is a bilingual, turquoise monster Muppet on Sesame Street known for introducing Spanish language and Latino culture to the show.
  • E. Mrs. Rico
    Mrs. Rico is the mother of Juan "Johnny" Rico in Robert A. Heinlein's science fiction novel "Starship Troopers," often depicted as part of his privileged civilian family background.
  • 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_69e0c473f0f8819086c9d1b4a143bd67 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f07cc6cdf88190a31129acdc3bcec8 completed April 28, 2026, 9:24 a.m.
Created at: April 16, 2026, 6:53 p.m.