Triple
T10240555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arturo |
E243576
|
entity |
| Predicate | hasCognate |
P2525
|
FINISHED |
| Object |
Artur (Portuguese)
Artur is the Portuguese form of the given name Arthur, commonly used in Portuguese-speaking countries.
|
E854520
|
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: Artur (Portuguese) | Statement: [Arturo, hasCognate, Artur (Portuguese)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Artur (Portuguese) Context triple: [Arturo, hasCognate, Artur (Portuguese)]
-
A.
Arturo (Portuguese)
Arturo (Portuguese) is the Portuguese form of the given name Arthur, commonly used in Lusophone countries.
-
B.
Gonçalo
Gonçalo is a Portuguese given name, equivalent to the Spanish name Gonzalo and commonly used for males in Portuguese-speaking countries.
-
C.
Claudio (Portuguese)
Claudio (Portuguese) is a masculine given name used in Portuguese-speaking countries, equivalent to the English name Claude or Claudio and ultimately derived from the Latin name Claudius.
-
D.
Henrique
Henrique is a masculine given name of Portuguese origin commonly used in Portuguese- and Spanish-speaking countries.
-
E.
António
António is a common Portuguese given name, notably borne by António Guterres, the Secretary-General of the United Nations.
- 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: Artur (Portuguese) Triple: [Arturo, hasCognate, Artur (Portuguese)]
Generated description
Artur is the Portuguese form of the given name Arthur, commonly used in Portuguese-speaking countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Artur (Portuguese) Target entity description: Artur is the Portuguese form of the given name Arthur, commonly used in Portuguese-speaking countries.
-
A.
Arturo (Portuguese)
Arturo (Portuguese) is the Portuguese form of the given name Arthur, commonly used in Lusophone countries.
-
B.
Gonçalo
Gonçalo is a Portuguese given name, equivalent to the Spanish name Gonzalo and commonly used for males in Portuguese-speaking countries.
-
C.
Claudio (Portuguese)
Claudio (Portuguese) is a masculine given name used in Portuguese-speaking countries, equivalent to the English name Claude or Claudio and ultimately derived from the Latin name Claudius.
-
D.
Henrique
Henrique is a masculine given name of Portuguese origin commonly used in Portuguese- and Spanish-speaking countries.
-
E.
António
António is a common Portuguese given name, notably borne by António Guterres, the Secretary-General of the United Nations.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d21e27f08190b956d351a75c7c52 |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71ca702d48190adc39b85c0fe6334 |
completed | April 9, 2026, 3:27 a.m. |
| NEDg | Description generation | batch_69d71f76e3cc8190b21a5fe8825caa2b |
completed | April 9, 2026, 3:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7319938ec8190a4a1a5f09832e3e3 |
completed | April 9, 2026, 4:56 a.m. |
Created at: April 6, 2026, 11:24 a.m.