Triple

T22899560
Position Surface form Disambiguated ID Type / Status
Subject The Giver (2014 film) E568271 entity
Predicate starring P1507 FINISHED
Object Taylor Swift 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: Taylor Swift | Statement: [The Giver (2014 film), starring, Taylor Swift]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taylor Swift
Context triple: [The Giver (2014 film), starring, Taylor Swift]
  • A. Taylor Swift chosen
    Taylor Swift is an American singer-songwriter known for her narrative songwriting, evolution from country to pop and indie styles, and massive global cultural and commercial impact.
  • B. Ariana Grande
    Ariana Grande is an American pop and R&B singer, songwriter, and actress known for her powerful, Mariah Carey–like vocal range and numerous chart-topping hits.
  • C. Mimi Rogers Swift
    Mimi Rogers Swift is the adopted daughter of American singer, actress, and cowgirl icon Dale Evans.
  • D. Katy Perry
    Katy Perry is an American pop singer and songwriter known for chart-topping hits like "Firework" and "Roar" and her colorful, theatrical performances.
  • E. Shayne Audra Murphy
    Shayne Audra Murphy is an American model and television personality, best known as the daughter of comedian Eddie Murphy and model Nicole Mitchell Murphy.
  • 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_69e2458c23ec81908fa2570692c6614f completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f180155b1c8190a83eb6ec45387a1a completed April 29, 2026, 3:50 a.m.
Created at: April 17, 2026, 3:41 p.m.