Triple

T14540053
Position Surface form Disambiguated ID Type / Status
Subject Bert E341143 entity
Predicate closeFriendOf P8712 FINISHED
Object Michael Banks E126634 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: Michael Banks | Statement: [Bert, closeFriendOf, Michael Banks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Banks
Context triple: [Bert, closeFriendOf, Michael Banks]
  • A. Michael Banks chosen
    Michael Banks is a fictional character from the Mary Poppins stories, depicted as one of the Banks children who later appears as an adult father in the sequel film.
  • B. Matthew Banks
    Matthew Banks is a British politician who served as a Member of Parliament before being succeeded by John David Pugh.
  • C. Don Banks
    Don Banks was an Australian composer and jazz musician known for his modernist concert works and numerous film and television scores.
  • D. Marcus Banks
    Marcus Banks is a former American professional basketball player who played as a point guard in the NBA for several teams in the 2000s.
  • E. Mike Banks
    Mike Banks is an American techno producer and co-founder of the influential Detroit-based Underground Resistance collective.
  • 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_69d822dac79c8190a84a073f3cbaced5 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_69fd7a5cca788190aa8762d860c78721 completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:22 a.m.