Triple
T33743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | António Guterres |
E672
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
António
António is a common Portuguese given name, notably borne by António Guterres, the Secretary-General of the United Nations.
|
E7036
|
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: António | Statement: [António Guterres, givenName, António]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: António Context triple: [António Guterres, givenName, António]
-
A.
Andrés
Andrés is a Spanish given name commonly used as the equivalent of Andrew.
-
B.
Catarina de Almeida Vaz Pinto
Catarina de Almeida Vaz Pinto is a Portuguese cultural manager and politician known for her work in arts and cultural policy, including serving as Lisbon’s councillor for culture.
-
C.
Johan
Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
-
D.
Juan Bohón
Juan Bohón was a Spanish conquistador best known as the founder of the Chilean city of La Serena in the 16th century.
-
E.
Philip V of Spain
Philip V of Spain was the first Bourbon king of Spain, whose accession sparked the War of the Spanish Succession and who reigned for much of the early 18th century, centralizing royal power and aligning Spain closely with France.
- 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: António Triple: [António Guterres, givenName, António]
Generated description
António is a common Portuguese given name, notably borne by António Guterres, the Secretary-General of the United Nations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: António Target entity description: António is a common Portuguese given name, notably borne by António Guterres, the Secretary-General of the United Nations.
-
A.
Andrés
Andrés is a Spanish given name commonly used as the equivalent of Andrew.
-
B.
Catarina de Almeida Vaz Pinto
Catarina de Almeida Vaz Pinto is a Portuguese cultural manager and politician known for her work in arts and cultural policy, including serving as Lisbon’s councillor for culture.
-
C.
Willem
Willem is a given name, primarily used in Dutch-speaking regions, that corresponds to the English name William.
-
D.
Johan
Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
-
E.
Juan Bohón
Juan Bohón was a Spanish conquistador best known as the founder of the Chilean city of La Serena in the 16th century.
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a2487952bc8190a94ce39c70799c70 |
completed | Feb. 28, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a25ab0fb1c8190a7e8f31bf4d56eaf |
completed | Feb. 28, 2026, 3:02 a.m. |
| NEDg | Description generation | batch_69a25ce7c718819096a51f15d7c6acee |
completed | Feb. 28, 2026, 3:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a25daa5c188190b95c031dd646b704 |
completed | Feb. 28, 2026, 3:14 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.