Triple

T7322901
Position Surface form Disambiguated ID Type / Status
Subject Leopold Georg Christian Friedrich E168794 entity
Predicate givenName P17 FINISHED
Object Leopold E110183 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: Leopold | Statement: [Leopold Georg Christian Friedrich, givenName, Leopold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leopold
Context triple: [Leopold Georg Christian Friedrich, givenName, Leopold]
  • A. Leopold chosen
    Leopold is a masculine given name of Germanic origin historically borne by various European rulers, saints, and notable figures.
  • B. Ludwik
    Ludwik is a given name, primarily used in Polish, that corresponds to the name Ludwig in other European languages.
  • C. Ernst
    Ernst is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
  • D. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • E. Günther
    Günther is the zoologist who first formally described the impressed tortoise species Manouria impressa.
  • 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_69c68a54cacc81908e3b773441f19566 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0446628819093e96236f1aa4a9b completed March 27, 2026, 9:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ef0609dc81909f298d3963fc88af completed March 28, 2026, 3:08 p.m.
Created at: March 27, 2026, 3:03 p.m.