Triple

T13783168
Position Surface form Disambiguated ID Type / Status
Subject Operation Brewer E331179 entity
Predicate commander P1061 FINISHED
Object William C. Chase E1247276 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: William C. Chase | Statement: [Operation Brewer, commander, William C. Chase]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William C. Chase
Context triple: [Operation Brewer, commander, William C. Chase]
  • A. William C. Chase chosen
    William C. Chase was a United States Army general best known for his leadership in the Pacific Theater during World War II.
  • B. William G. Chase
    William G. Chase was an American psychologist and cognitive scientist known for his influential research on expertise and human memory, particularly in collaboration with Herbert A. Simon.
  • C. Ely C. Chase
    Ely C. Chase is the ruthless railroad executive who serves as the primary antagonist in the 1959 romantic comedy film "It Happened to Jane."
  • D. Alfred P. Chapman
    Alfred P. Chapman was a key 19th-century American businessman best known for helping establish the major insurance company that became MetLife.
  • E. Charles D. Norton
    Charles D. Norton was an American figure notable for helping establish the American Cancer Society, a leading nonprofit organization dedicated to cancer research and patient support.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0247ccc881908dad7b547221f15d completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_6a012ec19c508190912c3fe186f8a992 completed May 11, 2026, 1:20 a.m.
Created at: April 9, 2026, 10:11 p.m.