Triple

T7875940
Position Surface form Disambiguated ID Type / Status
Subject Waiting for a Star to Fall E182851 entity
Predicate album P1995 FINISHED
Object Reel Life E701559 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: Reel Life | Statement: [Waiting for a Star to Fall, album, Reel Life]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reel Life
Context triple: [Waiting for a Star to Fall, album, Reel Life]
  • A. Reel Life chosen
    Reel Life is the 1988 pop album by American duo Boy Meets Girl, best known for featuring their hit single "Waiting for a Star to Fall."
  • B. Living at the Movies
    Living at the Movies is a poetry collection by American writer and punk icon Jim Carroll, known for its vivid, streetwise depictions of urban life and youth.
  • C. Bright Size Life
    Bright Size Life is the influential 1976 debut album by jazz guitarist Pat Metheny, renowned for its innovative blend of modern jazz and lyrical improvisation.
  • D. To Life
    "To Life" is a lively celebratory song from the musical *Fiddler on the Roof*, sung as a toast to good fortune and resilience amid hardship.
  • E. A Life on Film
    A Life on Film is the autobiography of classic Hollywood actress Mary Astor, recounting her long career and personal life in the film industry.
  • 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_69ca828a17248190b46defe758bc5ad3 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39aa7ca88190b88a18f6a8971e51 completed March 31, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdf9535c48190a73653a773553d01 completed March 31, 2026, 2:52 p.m.
Created at: March 30, 2026, 4:57 p.m.