Triple

T22767115
Position Surface form Disambiguated ID Type / Status
Subject Sixteen Candles E563155 entity
Predicate character P662 FINISHED
Object Samantha Baker 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: Samantha Baker | Statement: [Sixteen Candles, character, Samantha Baker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samantha Baker
Context triple: [Sixteen Candles, character, Samantha Baker]
  • A. Samantha Baker chosen
    Samantha Baker is the teenage protagonist of the 1984 coming-of-age film "Sixteen Candles," known for her awkward, overlooked 16th birthday and unrequited crush.
  • B. Samantha Burke
    Samantha Burke is a Florida-based American model who gained public attention as the mother of Jude Law’s daughter Sophia.
  • C. Samantha Finch
    Samantha Finch is the daughter of acclaimed English actor Peter Finch.
  • D. Samantha Russell
    Samantha Russell is the main female lead in the sitcom "My Sister Sam," portrayed as an independent San Francisco photographer whose life is upended when her teenage sister moves in with her.
  • E. Samantha Winslow
    Samantha Winslow is an American photographer and the wife of renowned film composer John Williams.
  • 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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17a80e2688190b76844c408929d32 completed April 29, 2026, 3:26 a.m.
Created at: April 17, 2026, 3:27 p.m.