Triple

T5752192
Position Surface form Disambiguated ID Type / Status
Subject I'm Just Ken E126878 entity
Predicate lyricist P1360 FINISHED
Object Andrew Wyatt E160316 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: Andrew Wyatt | Statement: [I'm Just Ken, lyricist, Andrew Wyatt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrew Wyatt
Context triple: [I'm Just Ken, lyricist, Andrew Wyatt]
  • A. Andrew Wyatt chosen
    Andrew Wyatt is an American musician, songwriter, and producer best known for his work with the band Miike Snow and for co-writing and producing hit pop songs for major artists.
  • B. Alan Wheatley
    Alan Wheatley was a British actor best known for his stage and screen work, including his portrayal of the Sheriff of Nottingham in the 1950s television series "The Adventures of Robin Hood."
  • C. Andrew Wyke
    Andrew Wyke is a wealthy, manipulative crime novelist whose elaborate mind games drive the psychological thriller at the heart of the film "Sleuth" (1972).
  • D. Michael Wilkinson
    Michael Wilkinson is a British Labour Party politician who served as Member of Parliament for Ruislip-Northwood from 1997 to 2005.
  • E. Michael Wright
    Michael Wright is an American actor known for his roles in films and television series such as "The Five Heartbeats," "Sugar Hill," and the HBO series "Oz."
  • 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_69c00832aedc81909899801b141fa3b4 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0288b580c81909e1289982b106695 completed March 22, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c097ffbf848190ba20a72c676d2c8e completed March 23, 2026, 1:31 a.m.
Created at: March 22, 2026, 3:48 p.m.