Triple

T9801601
Position Surface form Disambiguated ID Type / Status
Subject Wilson Bethel E237849 entity
Predicate portrayed P1668 FINISHED
Object Wade Kinsella E267601 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: Wade Kinsella | Statement: [Wilson Bethel, portrayed, Wade Kinsella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wade Kinsella
Context triple: [Wilson Bethel, portrayed, Wade Kinsella]
  • A. Wade Kinsella chosen
    Wade Kinsella is a charming, roguish bartender and musician from the TV series "Hart of Dixie," known for his complicated love life and central role in the small-town drama of Bluebell, Alabama.
  • B. W. P. Kinsella
    W. P. Kinsella was a Canadian author best known for his baseball-themed fiction and magical realism, particularly the novel that inspired the film "Field of Dreams."
  • C. Verne Brown
    Verne Brown is one of the time-traveling sons of Dr. Emmett Brown featured in the Back to the Future franchise.
  • D. Cecil Purdy
    Cecil Purdy was an Australian chess player, writer, and the first official World Correspondence Chess Champion, renowned for his instructional contributions to the game.
  • E. George N. Seger
    George N. Seger was a Republican U.S. Representative from New Jersey who served in Congress during the early 20th century.
  • 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_69ca84dd4608819097ff4ed00feca280 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda62b41048190bcef70a7591830c6 completed April 1, 2026, 11:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc53c3dc819084a4d8b72164a172 completed April 5, 2026, 2:43 a.m.
Created at: March 30, 2026, 8:29 p.m.