Triple

T3107356
Position Surface form Disambiguated ID Type / Status
Subject William Ryan E64863 entity
Predicate hasCollaborator P10645 FINISHED
Object Walter Pitman III E289609 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: Walter Pitman III | Statement: [William Ryan, hasCollaborator, Walter Pitman III]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walter Pitman III
Context triple: [William Ryan, hasCollaborator, Walter Pitman III]
  • A. Walter Pitman chosen
    Walter Pitman was an American geophysicist and oceanographer known for his pioneering work on seafloor spreading and plate tectonics.
  • B. Walter Newman
    Walter Newman was an American screenwriter known for his work on classic films such as "The Magnificent Seven" and "Cat Ballou."
  • C. Rex Walters
    Rex Walters is an American former professional basketball player and college coach best known for his head coaching tenure at the University of San Francisco and his sharpshooting guard play at Kansas.
  • D. Walter Brewster
    Walter Brewster was a prominent local landowner and early settler after whom the Village of Brewster in New York was named.
  • E. Walter Drey
    Walter Drey was an American businessman best known as a co-founder of Forbes, the influential business and finance magazine.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada29d4aa8819093287bc71370fc05 completed March 8, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24b2a9b648190a74c7691cc7a4959 completed March 12, 2026, 5:12 a.m.
Created at: March 8, 2026, 3:04 p.m.