Triple

T17095325
Position Surface form Disambiguated ID Type / Status
Subject Stanislaus E414832 entity
Predicate hasVariantForm P457 FINISHED
Object Stanislas E909995 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: Stanislas | Statement: [Stanislaus, hasVariantForm, Stanislas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stanislas
Context triple: [Stanislaus, hasVariantForm, Stanislas]
  • A. Stanislas chosen
    Stanislas is a masculine given name of Slavic origin, notably borne by several European nobles and saints.
  • B. Étienne
    Étienne is the given first name of the French Symbolist poet Stéphane Mallarmé.
  • C. Ludovic
    Ludovic is a masculine given name, used in various European languages, that is etymologically related to the name Ludwig.
  • D. Pierre-Louis
    Pierre-Louis is a French given name commonly used as a compound first name in Francophone countries.
  • E. Amédée
    Amédée is a given name of French usage, corresponding to the Italian name Amedeo and ultimately derived from the Latin Amadeus.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbfc9158819081689d3d594a1908 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012eedfd7c8190b267dedd403f5f2b completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:35 a.m.