Triple

T15537313
Position Surface form Disambiguated ID Type / Status
Subject Keri Russell E370379 entity
Predicate characterPortrayed P1507 FINISHED
Object Jenna Hunterson E842798 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: Jenna Hunterson | Statement: [Keri Russell, characterPortrayed, Jenna Hunterson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jenna Hunterson
Context triple: [Keri Russell, characterPortrayed, Jenna Hunterson]
  • A. Jenna Hunterson chosen
    Jenna Hunterson is a talented but unhappily married small-town waitress and pie maker who seeks a fresh start after an unexpected pregnancy in the musical "Waitress."
  • B. Jenna Thornhill
    Jenna Thornhill is a musician best known as a member of the Los Angeles-based punk band Mika Miko.
  • C. Megan Hunt
    Megan Hunt is the brilliant but emotionally complex medical examiner protagonist of the television series "Body of Proof."
  • D. Jenna Hurd
    Jenna Hurd is a person notable enough to be specifically cited as a bearer of the surname Hurd.
  • E. Jenna Russell
    Jenna Russell is an acclaimed British actress and singer, particularly known for her work in West End musical theatre and award-winning performances.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e0442f3c688190a599165e526af2ed completed April 16, 2026, 2:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82e376f08190b5ae9793a0381204 completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 4:06 a.m.