Triple

T5692865
Position Surface form Disambiguated ID Type / Status
Subject Ted franchise E125466 entity
Predicate featuresActor P15562 FINISHED
Object Jessica Barth E40579 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: Jessica Barth | Statement: [Ted franchise, featuresActor, Jessica Barth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jessica Barth
Context triple: [Ted franchise, featuresActor, Jessica Barth]
  • A. Jessica Barth chosen
    Jessica Barth is an American actress best known for playing Tami-Lynn in the comedy films "Ted" and "Ted 2."
  • B. Kate Barry
    Kate Barry was a British-French photographer known for her intimate portraits of artists and celebrities, and as the daughter of Jane Birkin and composer John Barry.
  • C. Darcie Schollmeyer
    Darcie Schollmeyer is known as the wife of Hockey Hall of Famer and former NHL star Brett Hull.
  • D. Ryan Kiera Armstrong
    Ryan Kiera Armstrong is an American child actress known for her roles in films such as "The Tomorrow War" and various television series.
  • E. Kate Burroughs
    Kate Burroughs is the central protagonist of the film "The Four Seasons," around whom the story’s relationships and events revolve.
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023e678c48190824d35d276985311 completed March 22, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a4f2bfc8190bc56c094f9ae9ce1 completed March 22, 2026, 9:08 p.m.
Created at: March 22, 2026, 3:44 p.m.