Triple

T22965187
Position Surface form Disambiguated ID Type / Status
Subject Kristin Kennedy E571021 entity
Predicate hasSibling P363 FINISHED
Object Gregory Kennedy NE NERFINISHED

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: Gregory Kennedy | Statement: [Kristin Kennedy, hasSibling, Gregory Kennedy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gregory Kennedy
Context triple: [Kristin Kennedy, hasSibling, Gregory Kennedy]
  • A. Gregory Kennedy chosen
    Gregory Kennedy is one of the children of Anthony Kennedy, the former Associate Justice of the United States Supreme Court.
  • B. Ben Kennedy
    Ben Kennedy is a notable member of the France family, the prominent dynasty that founded and long controlled NASCAR and has played a major role in American stock car racing.
  • C. Gregory Anderson
    Gregory Anderson is an American screenwriter and producer best known for writing the dance drama film "Stomp the Yard."
  • D. Kevin Buckley
    Kevin Buckley is a personal name shared by multiple individuals, including professionals and public figures in various fields.
  • E. Michael Gregory
    Michael Gregory is an American musician, comedian, and video producer best known as a member of The Gregory Brothers, the group behind the viral "Auto-Tune the News" and "Songify" videos.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b2c6548190a0e4c7f2f7df2d48 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181f763688190aab8f444a1a71577 completed April 29, 2026, 3:58 a.m.
Created at: April 17, 2026, 3:47 p.m.