Triple

T278619
Position Surface form Disambiguated ID Type / Status
Subject Sully Prudhomme E5303 entity
Predicate givenName P17 FINISHED
Object Armand
Armand is the given first name of the French poet and Nobel laureate Sully Prudhomme.
 E42789 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: Armand | Statement: [Sully Prudhomme, givenName, Armand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Armand
Context triple: [Sully Prudhomme, givenName, Armand]
  • A. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • B. André
    André is a given name of French origin commonly used in various languages as a form of "Andrew."
  • C. René
    René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
  • D. Stephen Sauvestre
    Stephen Sauvestre was a French architect best known for designing the architectural embellishments and final aesthetic of the Eiffel Tower.
  • E. Jacques
    Jacques is the French form of the given name James, commonly used in French-speaking countries.
  • 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: Armand
Triple: [Sully Prudhomme, givenName, Armand]
Generated description
Armand is the given first name of the French poet and Nobel laureate Sully Prudhomme.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Armand
Target entity description: Armand is the given first name of the French poet and Nobel laureate Sully Prudhomme.
  • A. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • B. André
    André is a given name of French origin commonly used in various languages as a form of "Andrew."
  • C. René
    René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
  • D. Stephen Sauvestre
    Stephen Sauvestre was a French architect best known for designing the architectural embellishments and final aesthetic of the Eiffel Tower.
  • E. Jacques
    Jacques is the French form of the given name James, commonly used in French-speaking countries.
  • 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_69a257e6c8788190987dfe705ca2912a completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25dee7830819087f153769a8496b9 completed Feb. 28, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3d23d72308190b35d2e6d745d6ee6 completed March 1, 2026, 5:44 a.m.
NEDg Description generation batch_69a3d2c542548190a5e8b39df0dfb874 completed March 1, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69a3d3b33c508190a45a3d9a35095674 completed March 1, 2026, 5:50 a.m.
Created at: Feb. 28, 2026, 2:59 a.m.