Triple

T20168983
Position Surface form Disambiguated ID Type / Status
Subject Heider Heydrich E491903 entity
Predicate givenName P17 FINISHED
Object Heider NE NERFINISHED

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: Heider | Statement: [Heider Heydrich, givenName, Heider]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heider
Context triple: [Heider Heydrich, givenName, Heider]
  • A. Heida
    Heida is a traditional white wine grape variety from Switzerland’s Valais region, known for producing aromatic, full-bodied wines with good acidity and aging potential.
  • B. Geer
    Geer is a surname most notably associated with American actress and theatre director Ellen Geer and her family of performers.
  • C. Heyden chosen
    Heyden is a surname and given name of Germanic origin that appears in various spellings, including Heydon.
  • D. Hieda
    Hieda is a Japanese surname notably associated with historical and literary figures in classical Japanese records and folklore.
  • E. Amblie
    Amblie is a small commune in the Calvados department of the Normandy region in northwestern France.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66846f4ec81908b0dc6a6e0ec27dd completed April 20, 2026, 5:54 p.m.
Created at: April 11, 2026, 11:35 p.m.