Triple

T15132283
Position Surface form Disambiguated ID Type / Status
Subject Uncle Buck E361448 entity
Predicate characterPortrayed P1507 FINISHED
Object Buck Russell E1137830 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: Buck Russell | Statement: [Uncle Buck, characterPortrayed, Buck Russell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buck Russell
Context triple: [Uncle Buck, characterPortrayed, Buck Russell]
  • A. Buck Russell chosen
    Buck Russell is the lovable, irresponsible yet big-hearted uncle portrayed by John Candy in the 1989 comedy film "Uncle Buck."
  • B. Buck Johnson
    Buck Johnson is an American keyboardist and vocalist best known for his work as a touring and session musician with major rock acts, including Aerosmith and the supergroup Hollywood Vampires.
  • C. Milt Buckner
    Milt Buckner was an American jazz pianist and organist known for popularizing the Hammond organ in jazz and pioneering the block-chord style of piano playing.
  • D. Marvin Boggs
    Marvin Boggs is a paranoid yet brilliant former CIA operative and eccentric marksman, portrayed by John Malkovich in the action-comedy film series "Red."
  • E. Bobby Morrow
    Bobby Morrow was an American sprinter and three-time Olympic gold medalist renowned for dominating the 100m and 200m events in the mid-1950s.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005b194748190801e3956bf2429d4 completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfe8802c81909af9dd11a7805f31 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:06 a.m.