Triple

T788372
Position Surface form Disambiguated ID Type / Status
Subject Grammy Legend Award E16854 entity
Predicate hasRecipient P108 FINISHED
Object Diana Ross E51575 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: Diana Ross | Statement: [Grammy Legend Award, hasRecipient, Diana Ross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diana Ross
Context triple: [Grammy Legend Award, hasRecipient, Diana Ross]
  • A. Diana Ross chosen
    Diana Ross is an iconic American singer and actress, best known as the lead vocalist of The Supremes and a defining figure of Motown and pop music.
  • B. Dionne Warwick
    Dionne Warwick is an American singer and actress renowned for her soulful pop and R&B hits, particularly her collaborations with songwriters Burt Bacharach and Hal David.
  • C. Aretha Franklin
    Aretha Franklin was an American singer, songwriter, and pianist widely known as the "Queen of Soul" and celebrated for her powerful voice and profound influence on popular music.
  • D. La La Anthony
    La La Anthony is an American television personality and actress known for her roles in film and TV as well as her work as a host and producer.
  • E. Esther Gordy Edwards
    Esther Gordy Edwards was a Motown executive and preservationist who played a key role in the label’s development and later safeguarded its legacy as a cultural institution.
  • 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_69a4936cb7448190914f5fe4b8d81607 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a782fe988190966b958673fe12bf completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69a79286e8b88190887def813bc65d95 completed March 4, 2026, 2:01 a.m.
Created at: March 1, 2026, 7:38 p.m.