Triple

T20554985
Position Surface form Disambiguated ID Type / Status
Subject Aymar Embury II E504696 entity
Predicate givenName P17 FINISHED
Object Aymar NE NERFINISHED

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: Aymar | Statement: [Aymar Embury II, givenName, Aymar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aymar
Context triple: [Aymar Embury II, givenName, Aymar]
  • A. Aymar chosen
    Aymar is a masculine given name of French origin, notably borne by American architect Aymar Embury II.
  • B. Avelar
    Avelar is a civil parish and locality within the municipality of Ansião in central Portugal.
  • C. Aomar
    Aomar is a town and commune located within Bouira Province in northern Algeria.
  • D. Oteiza
    Oteiza is a Basque surname most notably associated with the Spanish sculptor and artist Jorge Oteiza.
  • E. Lyautey
    Lyautey is a French surname most prominently associated with Marshal Hubert Lyautey, a key military leader and colonial administrator in early 20th-century France.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b52c048190952b4d0f430813a3 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a5dbe96c8190a278dfefdb4a5c43 completed April 20, 2026, 10:17 p.m.
Created at: April 16, 2026, 11:38 a.m.