Triple

T21431941
Position Surface form Disambiguated ID Type / Status
Subject Aisha Hinds E528708 entity
Predicate notableWork P4 FINISHED
Object If I Stay 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: If I Stay | Statement: [Aisha Hinds, notableWork, If I Stay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: If I Stay
Context triple: [Aisha Hinds, notableWork, If I Stay]
  • A. If I Stay chosen
    "If I Stay" is a young adult novel by Gayle Forman, later adapted into a film, about a teenage girl who has an out-of-body experience after a tragic car accident and must decide whether to live or die.
  • B. The Last Song
    The Last Song is a 2010 romantic drama film based on Nicholas Sparks’ novel, following a rebellious teenager who reconnects with her estranged father and discovers love and forgiveness during a summer at the beach.
  • C. The Last Song
    "The Last Song" is a pop-rock track by American band The All-American Rejects, known for its energetic sound and emotionally charged lyrics about heartbreak and moving on.
  • D. The Last Song
    The Last Song is a film featuring acclaimed Iranian actor Ezzatolah Entezami in a prominent role.
  • E. How I Live Now
    How I Live Now is a 2013 British war drama film, based on Meg Rosoff’s novel, that follows an American teenager caught in a violent near-future conflict while staying with relatives in the English countryside.
  • 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b3ec70f08190b84c4f747cfb290f completed April 22, 2026, 11:41 a.m.
Created at: April 16, 2026, 5:49 p.m.