Triple

T14738714
Position Surface form Disambiguated ID Type / Status
Subject Tia Carrere E346285 entity
Predicate stageName P7872 FINISHED
Object Tia Carrere E346285 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: Tia Carrere | Statement: [Tia Carrere, stageName, Tia Carrere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tia Carrere
Context triple: [Tia Carrere, stageName, Tia Carrere]
  • A. Tia Carrere chosen
    Tia Carrere is a Hawaiian-born American actress, singer, and former model best known for her roles in "Wayne's World," "True Lies," and various voice performances in animated films and series.
  • B. Lola Ray Facinelli
    Lola Ray Facinelli is the daughter of American actor Peter Facinelli.
  • C. Tara Reid
    Tara Reid is an American actress best known for her roles in films like "American Pie" and "The Big Lebowski," as well as the "Sharknado" television movie series.
  • D. Shannen Doherty
    Shannen Doherty is an American actress best known for her prominent roles in popular 1990s television series, including "Beverly Hills, 90210" and "Charmed."
  • E. Morgan Fairchild
    Morgan Fairchild is an American actress best known for her glamorous, often villainous roles in television soap operas and prime-time dramas from the 1970s and 1980s.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec73264848190be23c5f0260cbe13 completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e79997c8190bb6f158d50603066 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 1:29 a.m.