Triple

T7829841
Position Surface form Disambiguated ID Type / Status
Subject Dangerous Woman Tour E181337 entity
Predicate hasOpeningAct P45486 FINISHED
Object Victoria Monét E79196 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: Victoria Monét | Statement: [Dangerous Woman Tour, hasOpeningAct, Victoria Monét]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victoria Monét
Context triple: [Dangerous Woman Tour, hasOpeningAct, Victoria Monét]
  • A. Victoria Monét chosen
    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.
  • B. Jazmine Sullivan
    Jazmine Sullivan is an American R&B and soul singer-songwriter renowned for her powerful vocals and critically acclaimed albums such as "Fearless" and "Heaux Tales."
  • C. Ella Mai
    Ella Mai is a British R&B singer and songwriter best known for her hit single "Boo'd Up" and her self-titled debut studio album.
  • D. Normani
    Normani is an American singer, dancer, and former Fifth Harmony member known for her dynamic R&B-pop music and highly choreographed performances.
  • E. Jasmin Savoy Brown
    Jasmin Savoy Brown is an American actress known for her roles in the psychological drama series "Yellowjackets" and the recent "Scream" films.
  • 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_69ca8282ccec819083c48efb72d21cf9 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb04ac013c81909533fa348776f50c completed March 30, 2026, 11:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb5a854fac8190802599615a0f7bc4 completed March 31, 2026, 5:24 a.m.
Created at: March 30, 2026, 4:44 p.m.