Triple

T598597
Position Surface form Disambiguated ID Type / Status
Subject Guillermo E11442 entity
Predicate hasCognate P2525 FINISHED
Object Guilherme
Guilherme is the Portuguese form of the given name William, commonly used in Portuguese-speaking countries.
E76095 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: Guilherme | Statement: [Guillermo, hasCognate, Guilherme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guilherme
Context triple: [Guillermo, hasCognate, Guilherme]
  • A. Jorge
    Jorge is the birth name of Pope Francis, the head of the Roman Catholic Church and the first pope from the Americas.
  • B. José Alexandre
    José Alexandre is the birth name of Xanana Gusmão, the prominent East Timorese independence leader and statesman.
  • C. Tadeu Marroco
    Tadeu Marroco is a Brazilian-born business executive who serves as the chief executive officer of British American Tobacco.
  • D. Eduardo
    Eduardo is a masculine given name commonly used in Spanish and Portuguese-speaking countries, equivalent to the English name Edward.
  • E. Rafael Carmoega
    Rafael Carmoega was a prominent Puerto Rican architect known for designing major public buildings and shaping early 20th-century Puerto Rican civic architecture.
  • 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: Guilherme
Triple: [Guillermo, hasCognate, Guilherme]
Generated description
Guilherme is the Portuguese form of the given name William, commonly used in Portuguese-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Guilherme
Target entity description: Guilherme is the Portuguese form of the given name William, commonly used in Portuguese-speaking countries.
  • A. Jorge
    Jorge is the birth name of Pope Francis, the head of the Roman Catholic Church and the first pope from the Americas.
  • B. José Alexandre
    José Alexandre is the birth name of Xanana Gusmão, the prominent East Timorese independence leader and statesman.
  • C. Tadeu Marroco
    Tadeu Marroco is a Brazilian-born business executive who serves as the chief executive officer of British American Tobacco.
  • D. Eduardo
    Eduardo is a masculine given name commonly used in Spanish and Portuguese-speaking countries, equivalent to the English name Edward.
  • E. Rafael Carmoega
    Rafael Carmoega was a prominent Puerto Rican architect known for designing major public buildings and shaping early 20th-century Puerto Rican civic architecture.
  • 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_69a4932779b881908688590d59c71900 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49d776c6c819081b41a9b55041cd5 completed March 1, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a529220bc4819087e9de129139b6ef completed March 2, 2026, 6:07 a.m.
NEDg Description generation batch_69a52a081d0881909b4d5f0a699509aa completed March 2, 2026, 6:11 a.m.
NED2 Entity disambiguation (via description) batch_69a52de03864819092878b952c053c15 completed March 2, 2026, 6:27 a.m.
Created at: March 1, 2026, 7:35 p.m.