Triple

T16164011
Position Surface form Disambiguated ID Type / Status
Subject Velma Von Tussle E392252 entity
Predicate portrayedBy P1507 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: [Velma Von Tussle, portrayedBy, Janelle Monáe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Janelle Monáe
Context triple: [Velma Von Tussle, portrayedBy, 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e622ae481909f3cf25b38886d3a completed April 17, 2026, 11:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7b69adc8190ba90d68acaaca509 completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5:02 a.m.