Triple

T1747068
Position Surface form Disambiguated ID Type / Status
Subject Stéphane Mallarmé E38358 entity
Predicate givenName P17 FINISHED
Object Étienne
Étienne is the given first name of the French Symbolist poet Stéphane Mallarmé.
 E278724 NE FINISHED

How this triple was built (4 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: Étienne | Statement: [Stéphane Mallarmé, givenName, Étienne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Étienne
Context triple: [Stéphane Mallarmé, givenName, Étienne]
  • A. Firmin
    Firmin is a French given name notably borne by Firmin Didot, a renowned printer, typefounder, and member of the influential Didot family in the history of typography.
  • B. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • C. Antoine
    Antoine is the given name of Antoine de la Mothe Cadillac, the French explorer and founder of Detroit.
  • D. Donatien
    Donatien is the given name of Jean-Baptiste Donatien de Vimeur, comte de Rochambeau, a prominent French general who played a key role in the American Revolutionary War.
  • E. René
    René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Étienne
Triple: [Stéphane Mallarmé, givenName, Étienne]
Generated description
Étienne is the given first name of the French Symbolist poet Stéphane Mallarmé.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Étienne
Target entity description: Étienne is the given first name of the French Symbolist poet Stéphane Mallarmé.
  • A. Firmin
    Firmin is a French given name notably borne by Firmin Didot, a renowned printer, typefounder, and member of the influential Didot family in the history of typography.
  • B. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • C. Antoine
    Antoine is the given name of Antoine de la Mothe Cadillac, the French explorer and founder of Detroit.
  • D. Donatien
    Donatien is the given name of Jean-Baptiste Donatien de Vimeur, comte de Rochambeau, a prominent French general who played a key role in the American Revolutionary War.
  • E. René
    René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
  • F. None of above. chosen

Provenance (5 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63eabdf48190878ecde3d1b1faf3 completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69af6529905081909bd9e7c51fc21f77 completed March 10, 2026, 12:26 a.m.
NEDg Description generation batch_69af66195b2c81908f9af299fe4966d4 completed March 10, 2026, 12:30 a.m.
NED2 Entity disambiguation (via description) batch_69af66a5c9c08190808ad50b1c9e258f completed March 10, 2026, 12:32 a.m.
Created at: March 4, 2026, 7:31 p.m.