Triple

T11595998
Position Surface form Disambiguated ID Type / Status
Subject Carpenter E275002 entity
Predicate hasVariant P455 FINISHED
Object Zimmermann E98929 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: Zimmermann | Statement: [Carpenter, hasVariant, Zimmermann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zimmermann
Context triple: [Carpenter, hasVariant, Zimmermann]
  • A. Zimmermann chosen
    Zimmermann is a German surname commonly associated with the occupation of a carpenter or builder.
  • B. von Hindenburg
    Von Hindenburg is a German noble family name most famously associated with Paul von Hindenburg, the World War I field marshal and later President of Germany.
  • C. Helmuth
    Helmuth is a masculine given name of German origin, historically borne by several notable military and political figures.
  • D. Arthur Zimmermann
    Arthur Zimmermann was the German Foreign Secretary during World War I, best known for the Zimmermann Telegram that sought to draw Mexico into the war against the United States.
  • E. Heideck
    Heideck was a notable Philhellene, remembered for his support of the Greek cause during the Greek War of Independence.
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8946790d08190924d60bb4b523250 completed April 10, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69e8a7b72c888190b069d0ebaebd31d9 completed April 22, 2026, 10:49 a.m.
Created at: April 8, 2026, 9:38 p.m.