Triple

T670501
Position Surface form Disambiguated ID Type / Status
Subject Luís de Camões E12959 entity
Predicate givenName P17 FINISHED
Object Luís
Luís is a common Portuguese male given name, historically associated with notable figures such as the poet Luís de Camões.
 E100712 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: Luís | Statement: [Luís de Camões, givenName, Luís]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Luís
Context triple: [Luís de Camões, givenName, Luís]
  • A. António
    António is a common Portuguese given name, notably borne by António Guterres, the Secretary-General of the United Nations.
  • B. Pedro
    Pedro is the Spanish and Portuguese given name equivalent to the English name Peter and the French name Pierre.
  • C. José
    José is the given first name of Major League Baseball manager and former player Alex Cora.
  • D. Eduardo
    Eduardo is a masculine given name commonly used in Spanish and Portuguese-speaking countries, equivalent to the English name Edward.
  • E. Guillermo
    Guillermo is the Spanish form of the given name William, commonly used in Spanish-speaking countries.
  • 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: Luís
Triple: [Luís de Camões, givenName, Luís]
Generated description
Luís is a common Portuguese male given name, historically associated with notable figures such as the poet Luís de Camões.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Luís
Target entity description: Luís is a common Portuguese male given name, historically associated with notable figures such as the poet Luís de Camões.
  • A. António
    António is a common Portuguese given name, notably borne by António Guterres, the Secretary-General of the United Nations.
  • B. Pedro
    Pedro is the Spanish and Portuguese given name equivalent to the English name Peter and the French name Pierre.
  • C. José
    José is the given first name of Major League Baseball manager and former player Alex Cora.
  • D. Eduardo
    Eduardo is a masculine given name commonly used in Spanish and Portuguese-speaking countries, equivalent to the English name Edward.
  • E. Guillermo
    Guillermo is the Spanish form of the given name William, commonly used in Spanish-speaking countries.
  • 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_69a493355dec819098d4244b2fa34885 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49ffd2b508190ac5adc04163e360f completed March 1, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7927c75448190aafcaa955519833c completed March 4, 2026, 2:01 a.m.
NEDg Description generation batch_69a7965d1ce08190a1b6b30ffa23f974 completed March 4, 2026, 2:18 a.m.
NED2 Entity disambiguation (via description) batch_69a796b5cf708190ac3d11f80a3af7ce completed March 4, 2026, 2:19 a.m.
Created at: March 1, 2026, 7:36 p.m.