Triple

T21505300
Position Surface form Disambiguated ID Type / Status
Subject Heiner Friedrich E530581 entity
Predicate givenName P17 FINISHED
Object Heiner E564843 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: Heiner | Statement: [Heiner Friedrich, givenName, Heiner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heiner
Context triple: [Heiner Friedrich, givenName, Heiner]
  • A. Heiner chosen
    Heiner is a masculine given name of German origin, commonly used in German-speaking countries.
  • B. Heiner Friedrich
    Heiner Friedrich is a German art dealer and collector best known as a co-founder of the Dia Art Foundation and a major patron of Minimalist and Conceptual art.
  • C. Hainer
    Hainer is a German surname most notably borne by Herbert Hainer, the former CEO of Adidas.
  • D. Heike Makatsch
    Heike Makatsch is a German actress and former television presenter known internationally for her roles in films such as "Love Actually" and "Resident Evil."
  • E. Hinrich Helmstede
    Hinrich Helmstede was a medieval German architect best known for designing the iconic Holstentor city gate in Lübeck.
  • 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_69e0c45c81f08190a6b8bbb70a45aae7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea7cb5588190a4473bbfe3f49cbb completed April 23, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09e81ef0b8819085a0959a9f7c6697 completed May 17, 2026, 4:09 p.m.
Created at: April 16, 2026, 6:24 p.m.