Triple

T3725014
Position Surface form Disambiguated ID Type / Status
Subject Joyce Carol Oates E81726 entity
Predicate spouse P13 FINISHED
Object Charles Gross E447947 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: Charles Gross | Statement: [Joyce Carol Oates, spouse, Charles Gross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Gross
Context triple: [Joyce Carol Oates, spouse, Charles Gross]
  • A. Charles Gross chosen
    Charles Gross is an American composer best known for his film and television scores, including the soundtrack for the comedy film "Turner & Hooch."
  • B. David C. Plummer
    David C. Plummer is a computer scientist best known for authoring the ARP (Address Resolution Protocol) specification and contributing to early Internet networking standards.
  • C. Daniel L. Fapp
    Daniel L. Fapp was an American cinematographer known for his work on numerous Hollywood films, including the Oscar-winning West Side Story.
  • D. Timothy L. Pflueger
    Timothy L. Pflueger was a prominent American architect known for his influential Art Deco and Moderne designs in the San Francisco Bay Area, including major theaters, skyscrapers, and civic projects.
  • E. John Eisendrath
    John Eisendrath is a television writer and producer best known for his work on series such as "The Blacklist" and "Alias."
  • 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_69ad8b1b7ef081908d2d381bbf54985a completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcaf54af881908bd8d520595de061 completed March 8, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe3ba3848190bcd62dd21229ca67 completed March 21, 2026, 8:23 p.m.
Created at: March 8, 2026, 3:34 p.m.