Triple

T10715133
Position Surface form Disambiguated ID Type / Status
Subject Icon Award E252642 entity
Predicate notableRecipient P108 FINISHED
Object Janelle Monáe E144148 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: Janelle Monáe | Statement: [Icon Award, notableRecipient, Janelle Monáe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Janelle Monáe
Context triple: [Icon Award, notableRecipient, Janelle Monáe]
  • A. Janelle Monáe chosen
    Janelle Monáe is an American singer, songwriter, actress, and Afrofuturist artist known for her genre-blending music, conceptual albums, and socially conscious themes.
  • B. Mandisa Glover
    Mandisa Glover is the daughter of acclaimed American actor and activist Danny Glover.
  • C. Marsha Ambrosius
    Marsha Ambrosius is an English singer-songwriter and producer best known as one half of the R&B duo Floetry and for her solo neo-soul work.
  • D. Victoria Monét
    Victoria Monét is an American singer, songwriter, and producer known for her solo R&B work and for writing hits for artists like Ariana Grande.
  • E. Solange Knowles
    Solange Knowles is an American singer, songwriter, and artist known for her genre-blending R&B music, critically acclaimed albums like "A Seat at the Table," and her distinctive visual and cultural artistry.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6ff324d1881908b7cdf4ac208125f completed April 9, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9991f650881908d8db6e44b2c4543 completed April 11, 2026, 12:43 a.m.
Created at: April 8, 2026, 9:13 p.m.