Triple

T17763458
Position Surface form Disambiguated ID Type / Status
Subject Baywatch: Hawaiian Wedding E443440 entity
Predicate stars P1956 FINISHED
Object Alexandra Paul 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: Alexandra Paul | Statement: [Baywatch: Hawaiian Wedding, stars, Alexandra Paul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexandra Paul
Context triple: [Baywatch: Hawaiian Wedding, stars, Alexandra Paul]
  • A. Alexandra Paul chosen
    Alexandra Paul is an American actress best known for her role as Lt. Stephanie Holden on the television series "Baywatch."
  • B. Ava Alexander
    Ava Alexander is the central protagonist of the film "Up All Night," around whom the story’s main events and character dynamics revolve.
  • C. Alexandra Richards
    Alexandra Richards is an American model and artist, best known as the daughter of Rolling Stones guitarist Keith Richards and actress Patti Hansen.
  • D. Alexandra Rose
    Alexandra Rose is a film producer best known for her work on the 1987 romantic comedy "Overboard."
  • E. Alexandra Rubenstein
    Alexandra Rubenstein is one of the daughters of American billionaire investor and philanthropist David M. Rubenstein.
  • 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e485f9fa188190aef5ffeb0b628632 completed April 19, 2026, 7:36 a.m.
Created at: April 10, 2026, 10:11 a.m.