Triple

T16038715
Position Surface form Disambiguated ID Type / Status
Subject Carolyn Burnham E389034 entity
Predicate associatedWith P37 FINISHED
Object Buddy Kane E1191028 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: Buddy Kane | Statement: [Carolyn Burnham, associatedWith, Buddy Kane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buddy Kane
Context triple: [Carolyn Burnham, associatedWith, Buddy Kane]
  • A. Buddy Kane chosen
    Buddy Kane is a charismatic real estate rival in the film "American Beauty," known for his affair with Carolyn Burnham and his slick, self-promotional persona.
  • B. Buddy Pine
    Buddy Pine, better known by his supervillain alias Syndrome, is the main antagonist of Pixar's animated film "The Incredibles," a former fan of Mr. Incredible who turns against superheroes.
  • C. Kim Baxter
    Kim Baxter is an American indie pop musician best known as a member of the Portland-based band All Girl Summer Fun Band.
  • D. Buster Shultz
    Buster Shultz is a character appearing in the film "The Cameraman."
  • E. Buster Jones
    Buster Jones was an American voice actor best known for his work in animated television series during the 1980s and 1990s.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1833eb90c8190b10dca3ce0793ddf completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe474f89c819086db832b793c15ed completed May 10, 2026, 1:50 a.m.
Created at: April 10, 2026, 4:56 a.m.