Triple

T679112
Position Surface form Disambiguated ID Type / Status
Subject Niels Bohr E13142 entity
Predicate givenName P17 FINISHED
Object Niels E63708 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: Niels | Statement: [Niels Bohr, givenName, Niels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niels
Context triple: [Niels Bohr, givenName, Niels]
  • A. Niels chosen
    Niels is the given name of the pioneering Norwegian mathematician Niels Henrik Abel, known for his foundational work in algebra and analysis.
  • B. Nils Norman
    Nils Norman is a business figure known for co-founding the biotechnology company Biogen.
  • C. Henrik
    Henrik is the given name of the renowned Norwegian mathematician Niels Henrik Abel, known for his pioneering work in algebra and analysis.
  • D. Nils
    Nils is a Scandinavian male given name, commonly used in countries like Norway and Sweden and derived from the name Nicholas.
  • E. Nilsen
    Nilsen is a surname, primarily of Scandinavian origin, that serves as a variant spelling of Nelson.
  • 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_69a4933d3bf88190972041cd8cf143b9 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a04e17088190943d54977eb3f83a completed March 1, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d6cdc9c81909eb3240c00fa530d completed March 3, 2026, 11:23 p.m.
Created at: March 1, 2026, 7:36 p.m.