Triple

T14714224
Position Surface form Disambiguated ID Type / Status
Subject Niklas E345634 entity
Predicate relatedName P3889 FINISHED
Object Nils E68753 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: Nils | Statement: [Niklas, relatedName, Nils]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nils
Context triple: [Niklas, relatedName, Nils]
  • A. Nils chosen
    Nils is a Scandinavian male given name, commonly used in countries like Norway and Sweden and derived from the name Nicholas.
  • B. Nils Norman
    Nils Norman is a business figure known for co-founding the biotechnology company Biogen.
  • C. Olaf
    Olaf is one of Snoopy’s lesser-known beagle brothers in the Peanuts comic strip, recognizable by his pudgy build and floppy hat.
  • D. Olaf
    Olaf is a masculine given name of Old Norse origin, commonly used in Germanic and Scandinavian countries.
  • E. Niels
    Niels is the given name of the pioneering Norwegian mathematician Niels Henrik Abel, known for his foundational work in algebra and analysis.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb98513b081908b230f6ac79c72ad completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf0913d6c8190886df4cd0a92aa80 completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:29 a.m.