Triple

T21734871
Position Surface form Disambiguated ID Type / Status
Subject If You Think I’m Jiggy E536496 entity
Predicate performer P1363 FINISHED
Object Styles P NE NERFINISHED

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: Styles P | Statement: [If You Think I’m Jiggy, performer, Styles P]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Styles P
Context triple: [If You Think I’m Jiggy, performer, Styles P]
  • A. Styles P chosen
    Styles P is an American rapper and member of the hip hop group The LOX, known for his gritty lyricism and influential role in East Coast rap.
  • B. Styles
    Styles is the surname of English singer, songwriter, and actor Harry Styles, known for his work with One Direction and his successful solo career.
  • C. Styles
    Styles is the given name of Styles Bridges, a mid-20th-century American politician who served as Governor of New Hampshire and a long-time U.S. Senator.
  • D. Styles
    Styles is a Starfleet officer in the Star Trek universe who once commanded the USS Excelsior before Captain Hikaru Sulu.
  • E. Style
    Style is a chapter from the programming book "The Practice of Programming" that focuses on writing clear, readable, and maintainable code.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46d3284819099a4f9d5a704eb95 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69effd0b0da0819098ef03360eea6a0d completed April 28, 2026, 12:19 a.m.
Created at: April 16, 2026, 6:48 p.m.