Triple

T10355696
Position Surface form Disambiguated ID Type / Status
Subject Rudolf Laban E243993 entity
Predicate givenName P17 FINISHED
Object Rudolf E79214 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: Rudolf | Statement: [Rudolf Laban, givenName, Rudolf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rudolf
Context triple: [Rudolf Laban, givenName, Rudolf]
  • A. Rudolf
    Rudolf is the given name of the German Field Marshal Gerd von Rundstedt, a prominent military leader during World War II.
  • B. Rudolf chosen
    Rudolf is a masculine given name of German origin, historically borne by several notable figures including scientists, nobles, and artists.
  • C. Rudolf of Habsburg
    Rudolf of Habsburg was the first king of Germany from the Habsburg dynasty, whose election in 1273 marked the end of the Great Interregnum in the Holy Roman Empire.
  • D. Ottofried
    Ottofried is a German given name, now rare, that combines elements meaning “wealth” or “fortune” and “peace.”
  • E. Rudolf Prinz
    Rudolf Prinz is a notable individual who bears the German surname Prinz, recognized for his significance among people with that name.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e953d4888190b7ca0ac932349dbf completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750a9b4188190a8ecdd9e4d97570b completed April 9, 2026, 7:09 a.m.
Created at: April 6, 2026, 11:58 a.m.