Triple

T13504275
Position Surface form Disambiguated ID Type / Status
Subject Carmel E320971 entity
Predicate hasVariant P455 FINISHED
Object Carmela E844361 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: Carmela | Statement: [Carmel, hasVariant, Carmela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carmela
Context triple: [Carmel, hasVariant, 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 bilingual, turquoise monster Muppet on Sesame Street known for introducing Spanish language and Latino culture to the show.
  • D. Carmen Vasquez
    Carmen Vasquez is a supporting character in the 2000 crime-action film "Shaft," involved in the investigation led by detective John Shaft.
  • E. Adriana
    Adriana is the given first name of Adrian Balboa, the fictional wife of boxer Rocky Balboa in the "Rocky" film series.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf810e248190a060481004503f96 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7548bc188819090773db66b0103a1 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:43 p.m.