Triple

T1550169
Position Surface form Disambiguated ID Type / Status
Subject U.S. Seventh Army E33071 entity
Predicate notableCommander P1197 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: [U.S. Seventh Army, notableCommander, Alexander Patch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexander Patch
Context triple: [U.S. Seventh Army, notableCommander, 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. Bayard
    Bayard is a masculine given name most notably associated with civil rights leader Bayard Rustin.
  • C. Bayard
    Bayard is a small town in Grant County, West Virginia, known historically as a coal and timber community in the Appalachian region.
  • D. Ogden Rood
    Ogden Rood was a 19th-century American physicist and color theorist whose work on color perception and optical mixing significantly shaped modern art movements.
  • E. Archbold
    Archbold is a surname most notably associated with John Dustin Archbold, an influential American oil industry executive and key figure in the rise of Standard Oil.
  • 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_69a885ee6db8819099502bc5ce8af881 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90857bfb48190a2d66a601d228b72 completed March 5, 2026, 4:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad30a29ae88190ab1b2ca97b8ed09c completed March 8, 2026, 8:17 a.m.
Created at: March 4, 2026, 7:26 p.m.