Triple

T20525534
Position Surface form Disambiguated ID Type / Status
Subject Bruno Cremer E503924 entity
Predicate familyName P18 FINISHED
Object Cremer NE NERFINISHED

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: Cremer | Statement: [Bruno Cremer, familyName, Cremer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cremer
Context triple: [Bruno Cremer, familyName, Cremer]
  • A. Cremer chosen
    Cremer is a surname most notably associated with William Randal Cremer, a British politician and Nobel Peace Prize laureate recognized for his work in international arbitration.
  • B. Kremer
    Kremer is the surname of Gidon Kremer, a renowned Latvian-born violinist and conductor known for his interpretations of both classical and contemporary repertoire.
  • C. Cramer
    Cramer is a German surname borne by various notable individuals across fields such as sports, science, and the arts.
  • D. de Kremer
    de Kremer is the original family surname of the renowned 16th-century Flemish cartographer Gerardus Mercator.
  • E. Cremin
    Cremin is a surname most notably associated with Lawrence A. Cremin, an influential American educational historian and Pulitzer Prize–winning author.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b3a6e08190ae663701f50fab8e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a06504b48190b3f1defdc23a47d5 completed April 20, 2026, 9:53 p.m.
Created at: April 16, 2026, 11:37 a.m.