Triple

T22673195
Position Surface form Disambiguated ID Type / Status
Subject Trini Alvarado E560275 entity
Predicate givenName P17 FINISHED
Object Trini 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: Trini | Statement: [Trini Alvarado, givenName, Trini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trini
Context triple: [Trini Alvarado, givenName, Trini]
  • A. Trini chosen
    Trini is the given name of American actress Trini Alvarado, known for her roles in films such as "Little Women" and "The Frighteners."
  • B. Altagracia
    Altagracia is a town on Ometepe Island in southwestern Nicaragua, known for its proximity to Lake Nicaragua and its rich indigenous and colonial heritage.
  • C. Trini Monica
    Trini Monica is the wife of American stand-up comedian and actor Andrew Dice Clay.
  • D. Abataranika
    Abataranika is a Bengali literary work that served as the source material for the film "Mahanagar."
  • E. Caribbee
    Caribbee is a historical adventure novel by Thomas Hoover set in the Caribbean during the age of colonial rivalry and piracy.
  • 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_69e2454bfd00819099115715a22cb057 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17821daf88190b18a73a222fc22fb completed April 29, 2026, 3:16 a.m.
Created at: April 17, 2026, 3:10 p.m.