Triple

T9863468
Position Surface form Disambiguated ID Type / Status
Subject Rainer Hillenbrand E239772 entity
Predicate givenName P17 FINISHED
Object Rainer E590306 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: Rainer | Statement: [Rainer Hillenbrand, givenName, Rainer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rainer
Context triple: [Rainer Hillenbrand, givenName, Rainer]
  • A. Rainer chosen
    Rainer is a masculine given name of Germanic origin, related to names like Ragnar and Rayner, historically borne by various European nobles, clerics, and modern public figures.
  • B. Reimund
    Reimund is a masculine given name, primarily used in German-speaking regions, that is a variant of the name Raymond.
  • C. Benno
    Benno is a masculine given name, used as a variant or extended form of the name Ben in various European languages.
  • D. Othmar
    Othmar is a masculine given name of Germanic origin, notably borne by the Swiss-American civil engineer Othmar Ammann.
  • E. Stahlecker
    Stahlecker is a German-language surname most notably associated with Franz Walter Stahlecker, a high-ranking SS officer and Nazi official during World War II.
  • 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_69ca84e6493081909cf58c8d42ea856b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3b927d08190a45ff68de3954e8f completed April 2, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e447d3dc819090268f7d14ba3be4 completed April 5, 2026, 4:25 a.m.
Created at: March 30, 2026, 8:35 p.m.