Triple

T11485965
Position Surface form Disambiguated ID Type / Status
Subject Ottumwa, Iowa E272276 entity
Predicate isBirthplaceOf P1 FINISHED
Object Tom Arnold E369336 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: Tom Arnold | Statement: [Ottumwa, Iowa, isBirthplaceOf, Tom Arnold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Arnold
Context triple: [Ottumwa, Iowa, isBirthplaceOf, Tom Arnold]
  • A. Tom Arnold chosen
    Tom Arnold is an American actor and comedian known for his roles in film and television, as well as for his work on the sitcom "Roseanne."
  • B. Jeff Buchanan
    Jeff Buchanan is a professional editor, likely working in publishing or media, known for collaborating on written content such as articles or manuscripts.
  • C. Dave O’Donnell
    Dave O’Donnell is a music producer and engineer known for his work with prominent rock and pop artists.
  • D. Howard Deutch
    Howard Deutch is an American film and television director best known for helming several iconic 1980s John Hughes films, including "Pretty in Pink" and "Some Kind of Wonderful."
  • E. John Pankow
    John Pankow is an American actor best known for his role as Ira Buchman on the television sitcom "Mad About You" and for numerous supporting roles in film and theater.
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85a1fc9688190aacc2eed64229b79 completed April 10, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69e60451a89081909f9534fee6cb809f completed April 20, 2026, 10:47 a.m.
Created at: April 8, 2026, 9:36 p.m.