Triple

T10153258
Position Surface form Disambiguated ID Type / Status
Subject Diane Keaton E232702 entity
Predicate adoptedChildren P40227 FINISHED
Object Duke Keaton E843526 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: Duke Keaton | Statement: [Diane Keaton, adoptedChildren, Duke Keaton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Duke Keaton
Context triple: [Diane Keaton, adoptedChildren, Duke Keaton]
  • A. Duke Keaton chosen
    Duke Keaton is one of the adopted children of acclaimed American actress and filmmaker Diane Keaton.
  • B. Dexter Keaton
    Dexter Keaton is the adopted daughter of acclaimed American actress and filmmaker Diane Keaton.
  • C. Elwood Mead
    Elwood Mead was an American engineer and public official who served as U.S. Commissioner of Reclamation and oversaw major Western water projects, including the development associated with Hoover Dam.
  • D. Mickey Knox
    Mickey Knox is the violent, media-sensationalized serial killer protagonist from the film "Natural Born Killers."
  • E. Duke Weaselton
    Duke Weaselton is a small-time, fast-talking weasel criminal from Disney's animated film "Zootopia," known for his black-market dealings and comedic role.
  • 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec376cd48190990862c56c3a4dce completed April 2, 2026, 4:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d300a40638819082e575d957711377 completed April 6, 2026, 12:39 a.m.
Created at: March 30, 2026, 9:08 p.m.