Triple

T11999095
Position Surface form Disambiguated ID Type / Status
Subject Lorenz Hackenholt E285608 entity
Predicate givenName P17 FINISHED
Object Lorenz E275141 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: Lorenz | Statement: [Lorenz Hackenholt, givenName, Lorenz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lorenz
Context triple: [Lorenz Hackenholt, givenName, Lorenz]
  • A. Lorenz chosen
    Lorenz is a masculine given name of German origin, historically borne by various notable figures in Europe.
  • B. Rabinovich
    Rabinovich is a Jewish surname of Eastern European origin, notably borne by the Yiddish writer Sholem Aleichem (born Sholem Rabinovich).
  • C. Loren
    Loren is a given name used for people of any gender, often as a variant or shortened form of names like Lorenzo or Lauren.
  • D. Beltrami
    Beltrami is an Italian surname borne by various notable individuals across fields such as music, mathematics, and the arts.
  • E. Lindemann
    Lindemann is a German surname most notably associated with Ferdinand von Lindemann, the mathematician who proved that π is a transcendental number.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c26d7881909b67a31d04882eb5 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f472917ed08190a872d9e5663d5ed5 completed May 1, 2026, 9:29 a.m.
Created at: April 8, 2026, 9:46 p.m.