Triple

T706739
Position Surface form Disambiguated ID Type / Status
Subject Alfred E14115 entity
Predicate cognateInLanguage P2525 FINISHED
Object Alfred (Danish) E14115 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: Alfred (Danish) | Statement: [Alfred, cognateInLanguage, Alfred (Danish)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alfred (Danish)
Context triple: [Alfred, cognateInLanguage, Alfred (Danish)]
  • A. Alfred chosen
    Alfred is a masculine given name of English origin, historically popular in Anglo-Saxon and later English-speaking cultures.
  • B. Henrik
    Henrik is the given name of the renowned Norwegian mathematician Niels Henrik Abel, known for his pioneering work in algebra and analysis.
  • C. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • D. Niels
    Niels is the given name of the pioneering Norwegian mathematician Niels Henrik Abel, known for his foundational work in algebra and analysis.
  • E. Edvard
    Edvard is a given name, commonly used in Scandinavian and some European countries, that corresponds to the English name Edward.
  • 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_69a493494ec48190ae6751683625a9ba completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4aa9a1dcc81908bdb7b960765fde5 completed March 1, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69a64a5851548190adeacb2feb35a1cb completed March 3, 2026, 2:41 a.m.
Created at: March 1, 2026, 7:36 p.m.