Triple
T12212902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Antônio of Orléans-Braganza |
E291008
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Antônio |
E649999
|
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: Antônio | Statement: [Prince Antônio of Orléans-Braganza, givenName, Antônio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Antônio Context triple: [Prince Antônio of Orléans-Braganza, givenName, Antônio]
-
A.
Antônio
chosen
Antônio is the given name of the Brazilian artist known professionally as Tunga, a prominent figure in contemporary sculpture and installation art.
-
B.
João
João is a common Portuguese male given name widely used in Portuguese-speaking countries, equivalent to "John" in English.
-
C.
Sebastião
Sebastião is the Portuguese variant of the given name Sebastian, commonly used in Portuguese-speaking countries.
-
D.
Manoel
Manoel is a given name, commonly used in Portuguese- and Spanish-speaking cultures, that is a variant of the name Emmanuel.
-
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.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c915f548190b34a743f0a3bb51a |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a9f45108190a814cdca52e77b5e |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:51 p.m.