Triple

T17843832
Position Surface form Disambiguated ID Type / Status
Subject Jayne Houdyshell E445603 entity
Predicate name P16 FINISHED
Object Jayne Houdyshell 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: Jayne Houdyshell | Statement: [Jayne Houdyshell, name, Jayne Houdyshell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jayne Houdyshell
Context triple: [Jayne Houdyshell, name, Jayne Houdyshell]
  • A. Jayne Houdyshell chosen
    Jayne Houdyshell is an American stage and screen actress best known for her acclaimed work on Broadway, including a Tony Award–winning performance in "The Humans."
  • B. Jayne Rowse
    Jayne Rowse is a Michigan nurse and LGBT rights advocate known for challenging the state's same-sex marriage and adoption bans in the landmark DeBoer v. Snyder case.
  • C. Jayne Hughes
    Jayne Hughes is a Manx judicial officer who serves as the High Bailiff, the chief stipendiary magistrate of the Isle of Man.
  • D. Lindsay Pearce
    Lindsay Pearce is an American actress and singer best known for her appearances on "The Glee Project" and "Glee," as well as for her work in musical theatre.
  • E. Laura Haddock
    Laura Haddock is an English actress known for her roles in films like "Guardians of the Galaxy" and various British television series.
  • 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48ff980048190b496c55b83b3b318 completed April 19, 2026, 8:19 a.m.
Created at: April 10, 2026, 10:16 a.m.