Triple
T12529357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enrique |
E299519
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Henrique |
E428331
|
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: Henrique | Statement: [Enrique, hasVariant, Henrique]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henrique Context triple: [Enrique, hasVariant, Henrique]
-
A.
Henrique
chosen
Henrique is a masculine given name of Portuguese origin commonly used in Portuguese- and Spanish-speaking countries.
-
B.
Sebastião
Sebastião is the Portuguese variant of the given name Sebastian, commonly used in Portuguese-speaking countries.
-
C.
Guilherme
Guilherme is the Portuguese form of the given name William, commonly used in Portuguese-speaking countries.
-
D.
António
António is a common Portuguese given name, notably borne by António Guterres, the Secretary-General of the United Nations.
-
E.
Manoel
Manoel is a given name, commonly used in Portuguese- and Spanish-speaking cultures, that is a variant of the name Emmanuel.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9545e90948190980bd4d64964a0f2 |
completed | April 10, 2026, 7:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bc674e881908673e1f9103cc8be |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.