Triple

T6440618
Position Surface form Disambiguated ID Type / Status
Subject Craig Nourse E138208 entity
Predicate hasSurname P18 FINISHED
Object Nourse E25949 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: Nourse | Statement: [Craig Nourse, hasSurname, Nourse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nourse
Context triple: [Craig Nourse, hasSurname, Nourse]
  • A. Nourse chosen
    Nourse is a surname and variant spelling of "Nurse," historically associated with English-speaking families and occasionally used as a place or business name.
  • B. Redfield
    Redfield is a surname of English origin borne by various notable individuals across fields such as politics, science, and the arts.
  • C. Colwell
    Colwell is a surname most notably associated with Rita R. Colwell, an influential American microbiologist and former director of the U.S. National Science Foundation.
  • D. Nuska
    Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
  • E. Lobenstein
    Lobenstein is a historic town in present-day Thuringia, Germany, known for having served as the capital of one of the former Reuss principalities.
  • 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_69c008aa61ac8190bc96715ed79fe2d8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06968c6a88190a623da9bd3152a66 completed March 22, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bc1ccdc8190a171281a846173c0 completed March 27, 2026, 9:20 a.m.
Created at: March 22, 2026, 4:46 p.m.