Triple

T16567381
Position Surface form Disambiguated ID Type / Status
Subject Commander, Seventh United States Army E402496 entity
Predicate hasNotableOfficeHolder P537 FINISHED
Object Alexander Patch E33070 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: Alexander Patch | Statement: [Commander, Seventh United States Army, hasNotableOfficeHolder, Alexander Patch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexander Patch
Context triple: [Commander, Seventh United States Army, hasNotableOfficeHolder, Alexander Patch]
  • A. Alexander Patch chosen
    Alexander Patch was a senior U.S. Army general in World War II who led American forces in major European campaigns, including the invasion of southern France.
  • B. Corbitt
    Corbitt is a variant spelling of the surname Corbett, which is of English and Scottish origin.
  • C. Garet
    Garet is a given name that functions as a variant form of the name Garrett.
  • D. Artemas
    Artemas is a masculine given name most notably borne by American Revolutionary War general and politician Artemas Ward.
  • E. Gombauld
    Gombauld is a modernist painter and one of the central, satirically portrayed guests at the country-house gathering in Aldous Huxley’s novel "Crome Yellow."
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35772f6608190a125c7d3c199c3e2 completed April 18, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ee3dcbc819087ea66b262585232 completed May 10, 2026, 11:41 a.m.
Created at: April 10, 2026, 5:16 a.m.