Triple

T13719129
Position Surface form Disambiguated ID Type / Status
Subject Kris Jenner E328979 entity
Predicate birthName P65 FINISHED
Object Kristen Mary Houghton E378196 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: Kristen Mary Houghton | Statement: [Kris Jenner, birthName, Kristen Mary Houghton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kristen Mary Houghton
Context triple: [Kris Jenner, birthName, Kristen Mary Houghton]
  • A. Kristen Mary Houghton chosen
    Kristen Mary Houghton is the birth name of Kris Jenner, the American television personality and matriarch of the Kardashian–Jenner family.
  • B. Kristina Hetherington
    Kristina Hetherington is a film editor known for her work on the psychological period drama "The Wonder."
  • C. Christina Hodson
    Christina Hodson is a British screenwriter known for writing major Hollywood genre films such as Bumblebee, Birds of Prey, and The Flash.
  • D. Kirsten Lees
    Kirsten Lees is a prominent architect and partner at Grimshaw Architects, known for her leadership on major cultural and public projects.
  • E. Kate Houghton
    Kate Houghton is a central protagonist in the live-action/animated comedy film "Looney Tunes: Back in Action," where she works closely with classic Looney Tunes characters in a high-stakes adventure.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd439a121c81908cae964e7756274c completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc315ff848190a6c8cbd5b90db7fc completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 9:55 p.m.