Triple

T8984910
Position Surface form Disambiguated ID Type / Status
Subject Dana York E214635 entity
Predicate nameAfterMarriage P14292 FINISHED
Object Dana York Petty E214635 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: Dana York Petty | Statement: [Dana York, nameAfterMarriage, Dana York Petty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dana York Petty
Context triple: [Dana York, nameAfterMarriage, Dana York Petty]
  • A. Dana York chosen
    Dana York is an American woman best known as the widow of rock musician Tom Petty, whom she married in 2001 and remained with until his death.
  • B. Jody Patton
    Jody Patton is an American arts and museum professional best known for co-founding Seattle’s Experience Music Project (now MoPOP) alongside Paul Allen.
  • C. Jody Patton
    Jody Patton is a film producer best known for her work on acclaimed independent cinema, including the period drama "Far from Heaven."
  • D. Jody Payne
    Jody Payne was an American country guitarist and longtime member of Willie Nelson’s band, known for his distinctive backing work on numerous recordings and tours.
  • E. Jody Baxter
    Jody Baxter is the young boy protagonist of the classic American coming-of-age story "The Yearling," who forms a deep bond with an orphaned fawn in rural Florida.
  • 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_69ca839f76bc8190a4b7123cdd682199 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67ecc5188190a6fb4d5456893121 completed April 1, 2026, 12:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0b89a7481908f747043d2a68a37 completed April 3, 2026, 2:37 p.m.
Created at: March 30, 2026, 7:03 p.m.