Triple

T6711087
Position Surface form Disambiguated ID Type / Status
Subject Erik Nielsen E153141 entity
Predicate honorificSuffix P341 FINISHED
Object OC E9103 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: OC | Statement: [Erik Nielsen, honorificSuffix, OC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OC
Context triple: [Erik Nielsen, honorificSuffix, OC]
  • A. OC chosen
    OC is the post-nominal designation for Officer of the Order of Canada, one of the country’s highest civilian honors recognizing outstanding achievement and service.
  • B. OCYP
    OCYP is the acronym for the Office of Child and Youth Protection, an organization focused on safeguarding the welfare and rights of children and young people.
  • C. OD
    OD is the commonly used abbreviation for the Open Definition, a standard that sets out principles for what qualifies as open data and open content.
  • D. OCM
    OCM is the commonly used abbreviation for Osaka College of Music, a specialized higher education institution for music studies in Osaka, Japan.
  • E. OLCN
    OLCN is the Office of the Languages Commissioner of Nunavut, an independent body that oversees and promotes the protection and use of Nunavut’s official 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_69c68808d8d8819087369015270788fe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d107380481909cc761dc182834c1 completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c700906a9c81908a121db4291195d8 completed March 27, 2026, 10:11 p.m.
Created at: March 27, 2026, 2:06 p.m.