Triple

T1116370
Position Surface form Disambiguated ID Type / Status
Subject Max E11109 entity
Predicate hasVariant P455 FINISHED
Object Maxence
Maxence is a given name of French origin, used as a variant of the name Max.
E180121 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: Maxence | Statement: [Max, hasVariant, Maxence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maxence
Context triple: [Max, hasVariant, Maxence]
  • A. Clément
    Clément is a French given name, equivalent to Clement in English, commonly used for males.
  • 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. Thibault
    Thibault is a surname most notably associated with Mike Thibault, a prominent American basketball coach in the WNBA.
  • D. Laurent
    Laurent is a Belgian prince, the younger son of King Albert II and Queen Paola, known for his environmental interests and occasional public controversies.
  • E. Jérôme
    Jérôme is a masculine given name of French origin, famously borne by Jérôme Bonaparte, the youngest brother of Napoleon I.
  • 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: Maxence
Triple: [Max, hasVariant, Maxence]
Generated description
Maxence is a given name of French origin, used as a variant of the name Max.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maxence
Target entity description: Maxence is a given name of French origin, used as a variant of the name Max.
  • A. Clément
    Clément is a French given name, equivalent to Clement in English, commonly used for males.
  • 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. Thibault
    Thibault is a surname most notably associated with Mike Thibault, a prominent American basketball coach in the WNBA.
  • D. Laurent
    Laurent is a Belgian prince, the younger son of King Albert II and Queen Paola, known for his environmental interests and occasional public controversies.
  • E. Jérôme
    Jérôme is a masculine given name of French origin, famously borne by Jérôme Bonaparte, the youngest brother of Napoleon I.
  • 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_69a493252a648190ac48f8742474a5e8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bba2b550819081f8a100638d2fba completed March 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad4680a04481909e828a70d7fb24ed completed March 8, 2026, 9:50 a.m.
NEDg Description generation batch_69ad470cdcd8819094bfc66d0cb38295 completed March 8, 2026, 9:53 a.m.
NED2 Entity disambiguation (via description) batch_69ad47692f288190892e48c2bd87df90 completed March 8, 2026, 9:54 a.m.
Created at: March 1, 2026, 7:43 p.m.