Triple
T14037239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | João Manuel Gonçalves Lourenço |
E337744
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | João |
E337745
|
NE FINISHED |
How this triple was built (2 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: João | Statement: [João Manuel Gonçalves Lourenço, givenName, João]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: João Context triple: [João Manuel Gonçalves Lourenço, givenName, João]
-
A.
João
chosen
João is a common Portuguese male given name widely used in Portuguese-speaking countries, equivalent to "John" in English.
-
B.
João dos Santos
João dos Santos is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Santos.
-
C.
Sebastião
Sebastião is the Portuguese variant of the given name Sebastian, commonly used in Portuguese-speaking countries.
-
D.
Antônio
Antônio is the given name of the Brazilian artist known professionally as Tunga, a prominent figure in contemporary sculpture and installation art.
-
E.
Gonçalo
Gonçalo is a Portuguese given name, equivalent to the Spanish name Gonzalo and commonly used for males in Portuguese-speaking countries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de30e312148190a6be0a3258364e6e |
completed | April 14, 2026, 12:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc33bc20081909abea7e64d1bd578 |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:20 p.m.