Triple

T5885682
Position Surface form Disambiguated ID Type / Status
Subject Marc Platt E130854 entity
Predicate notableWork P4 FINISHED
Object Dear Evan Hansen E45782 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: Dear Evan Hansen | Statement: [Marc Platt, notableWork, Dear Evan Hansen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dear Evan Hansen
Context triple: [Marc Platt, notableWork, Dear Evan Hansen]
  • A. Dear Evan Hansen chosen
    Dear Evan Hansen is a contemporary Broadway musical that explores themes of loneliness, social media, and identity through the story of an anxious high school student whose lie spirals out of control.
  • B. The Edge of Seventeen
    The Edge of Seventeen is a 2016 coming-of-age comedy-drama film that follows an awkward high school junior navigating grief, friendship, and identity, widely praised for its sharp writing and Hailee Steinfeld’s lead performance.
  • C. Next to Normal
    Next to Normal is a Pulitzer Prize–winning rock musical that explores a suburban family's struggle with mental illness and grief.
  • D. Love, Simon
    Love, Simon is a 2018 coming-of-age romantic comedy-drama film about a closeted gay teenager navigating first love and self-acceptance.
  • E. 21 Bridges
    21 Bridges is a 2019 American crime thriller film starring Chadwick Boseman as an NYPD detective who shuts down all of Manhattan’s bridges to hunt a pair of cop killers.
  • 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_69c0085628dc8190b334c1b44c067efc completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03678dd2c819095926f80f25696b0 completed March 22, 2026, 6:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b13ce8788190b07771180f0fa376 completed March 23, 2026, 3:19 a.m.
Created at: March 22, 2026, 3:57 p.m.