Triple

T3202514
Position Surface form Disambiguated ID Type / Status
Subject Allegro E67082 entity
Predicate hasSong P20452 FINISHED
Object Allegro E67082 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: Allegro | Statement: [Allegro, hasSong, Allegro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allegro
Context triple: [Allegro, hasSong, Allegro]
  • A. Allegro chosen
    Allegro is a 1947 Rodgers and Hammerstein musical that experiments with nontraditional staging and narrative to follow a man's life from birth through adulthood.
  • B. Allegro
    Allegro is a high-speed passenger train service operating between Russia and Finland under the Russian Railways brand.
  • C. Rhapsody
    Rhapsody was Apple’s early post-NeXT operating system project that combined NeXTSTEP’s advanced technologies with a Mac OS–compatible environment, serving as a key transitional step toward what became Mac OS X.
  • D. Tempo
    Tempo was the internal codename used by Apple for the Mac OS 8 operating system during its development.
  • E. Rapsodi
    Rapsodi is the debut studio album by Nigerian rapper Olamide, which helped launch him into mainstream recognition in the Afrobeats and hip-hop scene.
  • 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_69ad8589bd988190afa7ed2bdffb7b33 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada9b046c8819087c0a61c4f9adeb7 completed March 8, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24bc7772c8190b286141dac5ea778 completed March 12, 2026, 5:14 a.m.
Created at: March 8, 2026, 3:07 p.m.