Triple

T19430819
Position Surface form Disambiguated ID Type / Status
Subject James Arnold of New Bedford E486105 entity
Predicate name P16 FINISHED
Object James Arnold 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: James Arnold | Statement: [James Arnold of New Bedford, name, James Arnold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Arnold
Context triple: [James Arnold of New Bedford, name, James Arnold]
  • A. James Arnold chosen
    James Arnold was a 19th-century American merchant and philanthropist whose bequest helped establish Harvard University's Arnold Arboretum.
  • B. James Arnold Taylor
    James Arnold Taylor is an American voice actor known for his work in animation and video games, including roles such as Obi-Wan Kenobi in Star Wars: The Clone Wars and numerous iconic cartoon characters.
  • C. Richard Gant
    Richard Gant is an American character actor known for his roles in film and television, often portraying authoritative or tough-minded figures.
  • D. Christopher Henderson
    Christopher Henderson is a fictional high-ranking counterterrorism operative and former mentor to Jack Bauer in the television series "24."
  • E. Martin Henderson
    Martin Henderson is a New Zealand actor known for his roles in films like "The Ring" and "Everest" and TV series such as "Grey's Anatomy" and "Virgin River."
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6321c774881908ba5bde20abd5adc completed April 20, 2026, 2:03 p.m.
Created at: April 10, 2026, 1:37 p.m.