Triple

T19817003
Position Surface form Disambiguated ID Type / Status
Subject Jim Patterson Stadium E476083 entity
Predicate namedAfter P63 FINISHED
Object Jim Patterson NE NERFINISHED

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: Jim Patterson | Statement: [Jim Patterson Stadium, namedAfter, Jim Patterson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jim Patterson
Context triple: [Jim Patterson Stadium, namedAfter, Jim Patterson]
  • A. Jim Patterson chosen
    Jim Patterson is an entrepreneur best known as a founder of the American low-cost airline Allegiant Air.
  • B. Jim Patterson
    Jim Patterson is an American television writer and producer best known for co-creating the Netflix sitcom "The Ranch" and working on several popular comedy series.
  • C. James Patterson
    James Patterson is a prolific American author best known for his numerous bestselling thriller and mystery novels, including the Alex Cross and Women's Murder Club series.
  • D. James Patterson
    James Patterson was a prominent Australian politician who served as the 17th Premier of Victoria in the early 1890s.
  • E. Linwood Barclay
    Linwood Barclay is a Canadian author best known for his bestselling crime and thriller novels, often featuring ordinary people caught in extraordinary and suspenseful situations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e654f9c5b08190987237f5144c3b37 completed April 20, 2026, 4:31 p.m.
Created at: April 10, 2026, 1:50 p.m.