Triple

T14358638
Position Surface form Disambiguated ID Type / Status
Subject Kissing Jessica Stein E356037 entity
Predicate castMember P1668 FINISHED
Object Heather Juergensen E1258810 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: Heather Juergensen | Statement: [Kissing Jessica Stein, castMember, Heather Juergensen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heather Juergensen
Context triple: [Kissing Jessica Stein, castMember, Heather Juergensen]
  • A. Heather Juergensen chosen
    Heather Juergensen is an American actress and writer best known for co-writing and starring in the indie romantic comedy film "Kissing Jessica Stein."
  • B. Lisa Gottsegen
    Lisa Gottsegen is an American businesswoman and philanthropist best known as the longtime wife of actor Dustin Hoffman.
  • C. Kimberly Schlapman
    Kimberly Schlapman is an American country singer best known as a founding member and vocalist of the Grammy-winning group Little Big Town.
  • D. Heather Faulkiner
    Heather Faulkiner is known as the wife of prominent American sportscaster Marv Albert.
  • E. Heather Persons
    Heather Persons is a film editor best known for her work on the independent comedy-drama "Sunshine Cleaning."
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8f52ca7881908704eef20228aed3 completed April 14, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01792dc0b08190a0871959ce752313 completed May 11, 2026, 6:37 a.m.
Created at: April 10, 2026, 1:15 a.m.