Triple

T13793987
Position Surface form Disambiguated ID Type / Status
Subject The Show Goes On E331468 entity
Predicate partOfAlbum P35 FINISHED
Object Lasers E331456 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: Lasers | Statement: [The Show Goes On, partOfAlbum, Lasers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lasers
Context triple: [The Show Goes On, partOfAlbum, Lasers]
  • A. Lasers chosen
    Lasers is Lupe Fiasco’s third studio album, known for its politically charged lyrics, pop-oriented production, and contentious relationship with both his label and core fanbase.
  • B. Laser
    Laser is a teenage son in the 2010 film "The Kids Are All Right," whose curiosity about his biological father helps drive the story’s family-centered plot.
  • C. Laser
    Laser is the costumed mascot representing Lasell University at its athletic events and campus activities.
  • D. Lazers
    Lazers is the abbreviated name of the Los Angeles Lazers, a former professional indoor soccer team that competed in the Major Indoor Soccer League during the 1980s.
  • E. LaserLight
    "LaserLight" is a dance-pop song by English singer Jessie J, known for its energetic beat and uplifting, club-ready chorus.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0259b0e4819081c11ced694384fb completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0e3642481908a9b84d8d71fb4d4 completed May 3, 2026, 9:40 p.m.
Created at: April 9, 2026, 10:11 p.m.