Triple

T14541329
Position Surface form Disambiguated ID Type / Status
Subject What a Man Gotta Do E341175 entity
Predicate featuresInMusicVideo P3289 FINISHED
Object Danielle Jonas E1115019 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: Danielle Jonas | Statement: [What a Man Gotta Do, featuresInMusicVideo, Danielle Jonas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danielle Jonas
Context triple: [What a Man Gotta Do, featuresInMusicVideo, Danielle Jonas]
  • A. Danielle Jonas chosen
    Danielle Jonas is an American television personality and former hairdresser best known for starring with her husband Kevin Jonas in the reality series "Married to Jonas."
  • B. Danielle DeJesus
    Danielle DeJesus is a television producer best known for her executive production work on the crime drama series "Power Book II: Ghost."
  • C. Danielle Bregoli
    Danielle Bregoli is an American rapper and internet personality best known by her stage name Bhad Bhabie, who first gained fame from a viral appearance on the Dr. Phil show.
  • D. Danielle Lassner
    Danielle Lassner is the mother of television producer Andy Lassner, known for his work on "The Ellen DeGeneres Show."
  • E. Danielle Judovits
    Danielle Judovits is an American voice actress known for her work in animated television series and video games.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb1bd0dd4819094c8b2f2aa6b1c5e completed April 14, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a002d92c9788190aa4523a1e47bc561 completed May 10, 2026, 7:02 a.m.
Created at: April 10, 2026, 1:22 a.m.