Triple

T8478801
Position Surface form Disambiguated ID Type / Status
Subject Chauncey Forward E200460 entity
Predicate sibling P363 FINISHED
Object Walter Forward E737400 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 Forward | Statement: [Chauncey Forward, sibling, Walter Forward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walter Forward
Context triple: [Chauncey Forward, sibling, Walter Forward]
  • A. Walter Forward chosen
    Walter Forward was a 19th-century American politician and lawyer who served as U.S. Secretary of the Treasury under President John Tyler.
  • B. Walter Darre
    Walter Darré was a leading Nazi official and ideologue of "blood and soil" agrarianism who served as Reich Minister of Food and Agriculture and was later tried as a war criminal after World War II.
  • C. Walter Frye
    Walter Frye was a 15th-century English composer known for his influential sacred vocal music, particularly masses and motets, during the early Renaissance.
  • D. Walter Nelson
    Walter Nelson was an attorney who served on the defense team in the landmark Ossian Sweet murder trial, which challenged racial injustice in 1920s Detroit.
  • E. Ralph Furley
    Ralph Furley is the flamboyantly dressed, bumbling landlord character from the sitcom "Three's Company," known for his exaggerated reactions and comic misunderstandings.
  • 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_69ca831b17988190a1f3f3413d57b820 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe5216d6481908e25a49bcc2e00cc completed March 31, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4de95e3081908277c65598f3884a completed April 2, 2026, 11:07 a.m.
Created at: March 30, 2026, 6:12 p.m.