Triple

T9485982
Position Surface form Disambiguated ID Type / Status
Subject Máximo E228761 entity
Predicate hasCognate P2525 FINISHED
Object Máxim
Máxim is a masculine given name, commonly used in various languages as a form of Maxim or Maximus.
 E802209 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: Máxim | Statement: [Máximo, hasCognate, Máxim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Máxim
Context triple: [Máximo, hasCognate, Máxim]
  • A. Maximilla
    Maximilla was a prominent 2nd-century Christian prophetess and one of the leading figures of the Montanist movement in Phrygia.
  • B. Konstantin
    Konstantin is a masculine given name of Latin origin, widely used in Slavic and other European cultures, meaning “steadfast” or “constant.”
  • C. Maximilian Voloshin
    Maximilian Voloshin was a Russian poet, critic, and artist of the Silver Age, closely associated with the Crimean town of Koktebel and known for his symbolist verse and cultural salon.
  • D. Severo
    Severo is a masculine given name of Spanish origin, notably borne by Nobel Prize–winning biochemist Severo Ochoa.
  • E. Valentim
    Valentim is a given name, primarily used in Portuguese-speaking countries, that corresponds to the variant of the name Valentine.
  • 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: Máxim
Triple: [Máximo, hasCognate, Máxim]
Generated description
Máxim is a masculine given name, commonly used in various languages as a form of Maxim or Maximus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Máxim
Target entity description: Máxim is a masculine given name, commonly used in various languages as a form of Maxim or Maximus.
  • A. Maximilla
    Maximilla was a prominent 2nd-century Christian prophetess and one of the leading figures of the Montanist movement in Phrygia.
  • B. Konstantin
    Konstantin is a masculine given name of Latin origin, widely used in Slavic and other European cultures, meaning “steadfast” or “constant.”
  • C. Maximilian Voloshin
    Maximilian Voloshin was a Russian poet, critic, and artist of the Silver Age, closely associated with the Crimean town of Koktebel and known for his symbolist verse and cultural salon.
  • D. Severo
    Severo is a masculine given name of Spanish origin, notably borne by Nobel Prize–winning biochemist Severo Ochoa.
  • E. Valentim
    Valentim is a given name, primarily used in Portuguese-speaking countries, that corresponds to the variant of the name Valentine.
  • 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_69ca84730a5081908de282651019bf2f completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd804fb2b4819084c7f5a842dbe5a6 completed April 1, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d1326b8819084c6d9490b7a96dc completed April 4, 2026, 3:24 p.m.
NEDg Description generation batch_69d12df73e3c819095f69e2b61989bb1 completed April 4, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69d12e6ed8988190bd1f4b6881db5e63 completed April 4, 2026, 3:29 p.m.
Created at: March 30, 2026, 7:55 p.m.