Triple

T14714668
Position Surface form Disambiguated ID Type / Status
Subject Aemilius E345645 entity
Predicate hasDerivative P9339 FINISHED
Object Émile (French given name)
Émile is a French masculine given name that originated from the Latin name Aemilius and is borne by numerous notable figures in French history and culture.
 E1116474 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: Émile (French given name) | Statement: [Aemilius, hasDerivative, Émile (French given name)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Émile (French given name)
Context triple: [Aemilius, hasDerivative, Émile (French given name)]
  • A. Alexandre (French)
    Alexandre (French) is the French form of the given name Alexander, commonly used for males in French-speaking countries.
  • B. Estienne
    Estienne is the surname of a prominent French family of Renaissance printers and scholars, notably active in Paris and Geneva.
  • C. Jean-Marie
    Jean-Marie is a French given name most notably borne by Nobel Prize–winning chemist Jean-Marie Lehn.
  • D. Thibault
    Thibault is a surname most notably associated with Mike Thibault, a prominent American basketball coach in the WNBA.
  • E. Alain (French)
    Alain is the French given name equivalent to the English name Alan, commonly used for males 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: Émile (French given name)
Triple: [Aemilius, hasDerivative, Émile (French given name)]
Generated description
Émile is a French masculine given name that originated from the Latin name Aemilius and is borne by numerous notable figures in French history and culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Émile (French given name)
Target entity description: Émile is a French masculine given name that originated from the Latin name Aemilius and is borne by numerous notable figures in French history and culture.
  • A. Alexandre (French)
    Alexandre (French) is the French form of the given name Alexander, commonly used for males in French-speaking countries.
  • B. Estienne
    Estienne is the surname of a prominent French family of Renaissance printers and scholars, notably active in Paris and Geneva.
  • C. Jean-Marie
    Jean-Marie is a French given name most notably borne by Nobel Prize–winning chemist Jean-Marie Lehn.
  • D. Thibault
    Thibault is a surname most notably associated with Mike Thibault, a prominent American basketball coach in the WNBA.
  • E. Alain (French)
    Alain is the French given name equivalent to the English name Alan, commonly used for males 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb98513b081908b230f6ac79c72ad completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf0913d6c8190886df4cd0a92aa80 completed May 8, 2026, 2:17 p.m.
NEDg Description generation batch_69fdf3f89f088190ab745bddcc99a36c completed May 8, 2026, 2:32 p.m.
NED2 Entity disambiguation (via description) batch_69fdf47f265c8190a5494dcc7baf00fa completed May 8, 2026, 2:34 p.m.
Created at: April 10, 2026, 1:29 a.m.