Triple

T4346999
Position Surface form Disambiguated ID Type / Status
Subject Southern France campaign E97928 entity
Predicate commanderForAllies P42419 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: [Southern France campaign, commanderForAllies, Alexander Patch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexander Patch
Context triple: [Southern France campaign, commanderForAllies, 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. Fadden
    Fadden is an Australian federal electoral division in Queensland, represented in the House of Representatives.
  • C. Rennahan
    Rennahan is a surname most notably associated with Ray Rennahan, an American cinematographer known for his pioneering work with Technicolor.
  • D. Bayard
    Bayard is a small town in Grant County, West Virginia, known historically as a coal and timber community in the Appalachian region.
  • E. Bayard
    Bayard is a masculine given name most notably associated with civil rights leader Bayard Rustin.
  • 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_69b34548402c819085ab68b27c235a87 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3518d6728819084a2f40ae0bd3ac8 completed March 12, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dba958b88190b1b4efe4274cd060 completed March 14, 2026, 10:05 p.m.
Created at: March 12, 2026, 11:15 p.m.