Triple

T287843
Position Surface form Disambiguated ID Type / Status
Subject Alexander E5923 entity
Predicate variant P4680 FINISHED
Object Alexandre
Alexandre is a given name of Greek origin, commonly used in French and Portuguese-speaking countries as a form of Alexander.
 E42018 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: Alexandre | Statement: [Alexander, variant, Alexandre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alexandre
Context triple: [Alexander, variant, Alexandre]
  • A. Édouard
    Édouard is the French form of the given name Edward, commonly used in French-speaking countries.
  • B. François
    François is the given name of the French poet and essayist Sully Prudhomme, the first recipient of the Nobel Prize in Literature.
  • C. Jean-Baptiste
    Jean-Baptiste is the French given name of the mathematician and physicist Jean-Baptiste Joseph Fourier, known for pioneering Fourier analysis and the study of heat conduction.
  • D. René
    René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
  • E. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • 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: Alexandre
Triple: [Alexander, variant, Alexandre]
Generated description
Alexandre is a given name of Greek origin, commonly used in French and Portuguese-speaking countries as a form of Alexander.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alexandre
Target entity description: Alexandre is a given name of Greek origin, commonly used in French and Portuguese-speaking countries as a form of Alexander.
  • A. Édouard
    Édouard is the French form of the given name Edward, commonly used in French-speaking countries.
  • B. François
    François is the given name of the French poet and essayist Sully Prudhomme, the first recipient of the Nobel Prize in Literature.
  • C. Jean-Baptiste
    Jean-Baptiste is the French given name of the mathematician and physicist Jean-Baptiste Joseph Fourier, known for pioneering Fourier analysis and the study of heat conduction.
  • D. René
    René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
  • E. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • 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_69a25946a7ac8190a78871c210213272 completed Feb. 28, 2026, 2:56 a.m.
NER Named-entity recognition batch_69a25e2ddaa88190b08c40b5823f30a0 completed Feb. 28, 2026, 3:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3cfe55c4c81908521c5161f0d844b completed March 1, 2026, 5:34 a.m.
NEDg Description generation batch_69a3d0a036308190aa0627ce3ef105de completed March 1, 2026, 5:37 a.m.
NED2 Entity disambiguation (via description) batch_69a3d125242c81908034f58a8dbcc52f completed March 1, 2026, 5:39 a.m.
Created at: Feb. 28, 2026, 3:02 a.m.