Triple

T21432185
Position Surface form Disambiguated ID Type / Status
Subject Prince Jackson E528714 entity
Predicate name P16 FINISHED
Object Prince Jackson 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: Prince Jackson | Statement: [Prince Jackson, name, Prince Jackson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prince Jackson
Context triple: [Prince Jackson, name, Prince Jackson]
  • A. Prince Jackson chosen
    Prince Jackson is the eldest son of the late pop icon Michael Jackson, known for his work as a television personality and occasional producer.
  • B. Prince Paul
    Prince Paul is an American hip hop producer and DJ known for his innovative, sample-heavy, and often darkly humorous work with groups like De La Soul and Gravediggaz.
  • C. King Oliver
    King Oliver was an influential early jazz cornetist and bandleader whose Creole Jazz Band helped launch Louis Armstrong’s career and shape the New Orleans jazz style.
  • D. Pharoahe Monch
    Pharoahe Monch is an American rapper and lyricist known for his complex wordplay, intricate rhyme schemes, and influential work in underground hip-hop.
  • E. JC Cube
    JC Cube is a performance and event venue within Hong Kong’s Tai Kwun Centre for Heritage and Arts, used for film screenings, talks, and cultural programs.
  • 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b5326c8481908a6ab7d2dd961ae2 completed April 22, 2026, 11:46 a.m.
Created at: April 16, 2026, 5:50 p.m.