Triple

T6308245
Position Surface form Disambiguated ID Type / Status
Subject Phil Zimmermann E141432 entity
Predicate familyName P18 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: [Phil Zimmermann, familyName, Zimmermann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zimmermann
Context triple: [Phil Zimmermann, familyName, 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_69c008d00efc8190a36c05b4b4a3bf4b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0647d38008190abaf96632712ddf9 completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e45330ec8190945682962ae823b0 completed March 27, 2026, 1:58 a.m.
Created at: March 22, 2026, 4:28 p.m.