Triple

T13673578
Position Surface form Disambiguated ID Type / Status
Subject Rachel Berry E327813 entity
Predicate closeFriendOf P8712 FINISHED
Object Santana Lopez E396182 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: Santana Lopez | Statement: [Rachel Berry, closeFriendOf, Santana Lopez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santana Lopez
Context triple: [Rachel Berry, closeFriendOf, Santana Lopez]
  • A. Santana Lopez chosen
    Santana Lopez is a sharp-tongued, fiercely loyal cheerleader and singer from the TV series "Glee," known for her powerful vocals, complex relationships, and impactful LGBTQ+ storyline.
  • B. Gabriella Montez
    Gabriella Montez is a shy but academically gifted student and singer who becomes one of the central protagonists in Disney’s High School Musical franchise.
  • C. Rosa Diaz
    Rosa Diaz is a tough, enigmatic, and fiercely loyal NYPD detective known for her deadpan humor and intimidating presence on the sitcom "Brooklyn Nine-Nine."
  • 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. Valerie Vasquez
    Valerie Vasquez is a makeup artist and the wife of American stand-up comedian and actor Andrew Dice Clay.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc65aab348190a6611f5765f8392d completed April 12, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78b145fa081908521c103201f3afe completed May 3, 2026, 5:51 p.m.
Created at: April 9, 2026, 9:53 p.m.