Triple

T9343853
Position Surface form Disambiguated ID Type / Status
Subject Don Airey E224830 entity
Predicate associatedBand P6597 FINISHED
Object Rainbow E389939 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: Rainbow | Statement: [Don Airey, associatedBand, Rainbow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rainbow
Context triple: [Don Airey, associatedBand, Rainbow]
  • A. Rainbow
    Rainbow is the distinctive nickname and emblem of the U.S. Army’s 42nd Infantry Division, symbolizing its diverse, nationwide composition.
  • B. Rainbow chosen
    Rainbow was a British hard rock band formed in the mid-1970s by guitarist Ritchie Blackmore, known for its neoclassical metal sound and influential albums like "Rising."
  • C. Rainbow
    Rainbow is Mariah Carey's 1999 pop and R&B studio album that blends soulful ballads with uptempo tracks and marks a transitional period in her artistic and personal life.
  • D. Rainbow
    Rainbow is a meteorological and optical phenomenon that appears as a multicolored arc in the sky when sunlight is refracted, reflected, and dispersed in water droplets.
  • E. The Rainbow
    The Rainbow is a seascape painting by Russian-Armenian Romantic artist Ivan Aivazovsky, celebrated for its dramatic depiction of light, atmosphere, and the power of the sea.
  • 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_69ca842993248190a79ab06968994b86 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4bb244e88190b269e0bc997f066a completed April 1, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e410bc348190b0cae142bf850bce completed April 4, 2026, 10:12 a.m.
Created at: March 30, 2026, 7:40 p.m.