Triple

T1407472
Position Surface form Disambiguated ID Type / Status
Subject Halston Sage E31725 entity
Predicate characterInWork P12208 FINISHED
Object Before I Fall E161204 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: Before I Fall | Statement: [Halston Sage, characterInWork, Before I Fall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Before I Fall
Context triple: [Halston Sage, characterInWork, Before I Fall]
  • A. Before I Fall chosen
    Before I Fall is a 2017 teen drama film based on Lauren Oliver’s novel, following a high school girl reliving the day of her death to uncover the truth about her life and relationships.
  • B. The Light We Carry
    The Light We Carry is a 2022 nonfiction book by Michelle Obama that offers personal reflections and practical wisdom on resilience, hope, and navigating uncertainty.
  • C. Before We Disappear
    "Before We Disappear" is a reflective, emotionally charged rock ballad by Chris Cornell, featured on his 2015 solo album "Higher Truth."
  • D. Last of the American Girls
    "Last of the American Girls" is a politically charged punk rock song by Green Day that celebrates a rebellious, nonconformist woman as a symbol of resistance.
  • E. Now and Then
    "Now and Then" is a 1995 coming-of-age film that follows four women reminiscing about a formative summer from their childhood in the 1970s.
  • 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_69a49918e1f88190ba610f9dc8114578 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3bf7f0c8190aee96818de6ff4a5 completed March 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad015839908190b7f9f6c79dcc0367 completed March 8, 2026, 4:55 a.m.
Created at: March 1, 2026, 7:59 p.m.