Triple

T1234856
Position Surface form Disambiguated ID Type / Status
Subject Sophus Lie E26524 entity
Predicate givenName P17 FINISHED
Object Marius
Marius is the given name of the Norwegian mathematician Sophus Lie, a pioneer in the theory of continuous transformation groups (Lie groups).
 E141117 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: Marius | Statement: [Sophus Lie, givenName, Marius]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marius
Context triple: [Sophus Lie, givenName, Marius]
  • A. Marius Pontmercy
    Marius Pontmercy is a central character in Victor Hugo’s novel *Les Misérables*, a young idealistic law student and revolutionary who falls in love with Cosette.
  • B. Lucien
    Lucien is a masculine given name of Latin origin, historically associated with figures such as Lucien Bonaparte, the brother of Napoleon Bonaparte.
  • C. 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.
  • D. Antoine
    Antoine is the given name of Antoine de la Mothe Cadillac, the French explorer and founder of Detroit.
  • E. Armand
    Armand is the given first name of the French poet and Nobel laureate Sully Prudhomme.
  • 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: Marius
Triple: [Sophus Lie, givenName, Marius]
Generated description
Marius is the given name of the Norwegian mathematician Sophus Lie, a pioneer in the theory of continuous transformation groups (Lie groups).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marius
Target entity description: Marius is the given name of the Norwegian mathematician Sophus Lie, a pioneer in the theory of continuous transformation groups (Lie groups).
  • A. Marius Pontmercy
    Marius Pontmercy is a central character in Victor Hugo’s novel *Les Misérables*, a young idealistic law student and revolutionary who falls in love with Cosette.
  • B. Lucien
    Lucien is a masculine given name of Latin origin, historically associated with figures such as Lucien Bonaparte, the brother of Napoleon Bonaparte.
  • C. 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.
  • D. Antoine
    Antoine is the given name of Antoine de la Mothe Cadillac, the French explorer and founder of Detroit.
  • E. Armand
    Armand is the given first name of the French poet and Nobel laureate Sully Prudhomme.
  • 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_69a4948571c88190a9191e451e6035fd completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be5e421081908f2432528019db25 completed March 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8a16badc8190b5b603db0ca738cb completed March 7, 2026, 8:27 p.m.
NEDg Description generation batch_69ac8b70bd888190bed944579237bfad completed March 7, 2026, 8:32 p.m.
NED2 Entity disambiguation (via description) batch_69ac8bce4be48190b7e396d31e881450 completed March 7, 2026, 8:34 p.m.
Created at: March 1, 2026, 7:47 p.m.