Triple

T5045834
Position Surface form Disambiguated ID Type / Status
Subject Valentine E113659 entity
Predicate hasVariant P455 FINISHED
Object Valentim
Valentim is a given name, primarily used in Portuguese-speaking countries, that corresponds to the variant of the name Valentine.
 E492442 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: Valentim | Statement: [Valentine, hasVariant, Valentim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Valentim
Context triple: [Valentine, hasVariant, Valentim]
  • A. Silvano
    Silvano is an Italian given name, related to Silvio, traditionally associated with the Latin name Silvanus meaning "of the forest" or "woodland."
  • B. Timoteo
    Timoteo is a masculine given name, commonly used in Romance-language countries, derived from the biblical name Timothy.
  • C. Valeriano
    Valeriano is a masculine given name of Latin origin, historically borne by several notable figures including Spanish military and political leaders.
  • D. Raimundo
    Raimundo is a masculine given name of Spanish and Portuguese origin, related to the name Ramón and ultimately derived from the Germanic name Raymond.
  • E. Valter
    Valter is a masculine given name used in various European countries, generally equivalent to the English name Walter.
  • 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: Valentim
Triple: [Valentine, hasVariant, Valentim]
Generated description
Valentim is a given name, primarily used in Portuguese-speaking countries, that corresponds to the variant of the name Valentine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Valentim
Target entity description: Valentim is a given name, primarily used in Portuguese-speaking countries, that corresponds to the variant of the name Valentine.
  • A. Silvano
    Silvano is an Italian given name, related to Silvio, traditionally associated with the Latin name Silvanus meaning "of the forest" or "woodland."
  • B. Timoteo
    Timoteo is a masculine given name, commonly used in Romance-language countries, derived from the biblical name Timothy.
  • C. Valeriano
    Valeriano is a masculine given name of Latin origin, historically borne by several notable figures including Spanish military and political leaders.
  • D. Raimundo
    Raimundo is a masculine given name of Spanish and Portuguese origin, related to the name Ramón and ultimately derived from the Germanic name Raymond.
  • E. Valter
    Valter is a masculine given name used in various European countries, generally equivalent to the English name Walter.
  • 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_69bd44391fc48190a311ce9c826c209b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73fe99688190961708f5d8eb6bff completed March 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb0f746788190bf73b8b5069e89cb completed March 21, 2026, 2:53 p.m.
NEDg Description generation batch_69beb32f4364819081d47103fe97a5da completed March 21, 2026, 3:03 p.m.
NED2 Entity disambiguation (via description) batch_69beb39eebd881909618dd628d90f261 completed March 21, 2026, 3:05 p.m.
Created at: March 20, 2026, 1:37 p.m.