Triple

T12609228
Position Surface form Disambiguated ID Type / Status
Subject Prince Leopold of Anhalt-Köthen E301067 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: [Prince Leopold of Anhalt-Köthen, givenName, Leopold]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leopold
Context triple: [Prince Leopold of Anhalt-Köthen, 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. Leopold Hermann
    Leopold Hermann is a person known primarily as a notable bearer of the surname Hermann.
  • C. Starker Leopold
    Starker Leopold was an American wildlife biologist and conservationist known for his influential work in wildlife management and environmental policy, continuing the legacy of his father Aldo Leopold.
  • D. Leopold Atlas
    Leopold Atlas was an American screenwriter best known for his work on the acclaimed World War II film "The Story of G.I. Joe."
  • E. Ludwik
    Ludwik is a given name, primarily used in Polish, that corresponds to the name Ludwig in other European languages.
  • 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954e90efc81909951dbe698afa851 completed April 10, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6686b9d088190832d1f244e7aa924 completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:11 p.m.