Triple

T303967
Position Surface form Disambiguated ID Type / Status
Subject Russell E6257 entity
Predicate hasEtymologicalOrigin P506 FINISHED
Object Norman French E10116 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: Norman French | Statement: [Russell, hasEtymologicalOrigin, Norman French]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norman French
Context triple: [Russell, hasEtymologicalOrigin, Norman French]
  • A. Old French
    Old French was the medieval Romance language spoken in northern France and surrounding regions, which served as the linguistic ancestor of modern French and significantly influenced English after the Norman Conquest.
  • B. Anglo-Norman chosen
    Anglo-Norman is a variety of Old Norman French that developed in England after the Norman Conquest and served as a key language of the medieval English court, law, and literature.
  • C. Breton
    Breton is a Celtic language spoken primarily in Brittany, France, known for its close relation to Cornish and Welsh.
  • D. French
    French is a Romance language that evolved from Latin and is now spoken worldwide as both a native and official language in many countries.
  • E. Jèrriais
    Jèrriais is a Norman Romance language traditionally spoken on the island of Jersey in the Channel Islands.
  • 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_69a2e79230508190b912ecb555aae17e completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea1032e48190864338e030d9dc92 completed Feb. 28, 2026, 1:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3b472eda88190b573432ba2295162 completed March 1, 2026, 3:37 a.m.
Created at: Feb. 28, 2026, 1:06 p.m.