Triple
T17586371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henrique |
E428331
|
entity |
| Predicate | hasDiminutiveForm |
P456
|
FINISHED |
| Object | Henriquinho |
—
|
NE NERFINISHED |
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: Henriquinho | Statement: [Henrique, hasDiminutiveForm, Henriquinho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henriquinho Context triple: [Henrique, hasDiminutiveForm, Henriquinho]
-
A.
Henrique
chosen
Henrique is a masculine given name of Portuguese origin commonly used in Portuguese- and Spanish-speaking countries.
-
B.
Guilherme
Guilherme is the Portuguese form of the given name William, commonly used in Portuguese-speaking countries.
-
C.
Sebastião
Sebastião is the Portuguese variant of the given name Sebastian, commonly used in Portuguese-speaking countries.
-
D.
Luiz
Luiz is a character in Gilbert and Sullivan's comic opera "The Gondoliers," serving as a romantic figure entangled in the opera's mistaken-identity and royal-intrigue plot.
-
E.
Luiz
Luiz is a given name associated with the German novelist Heinrich Mann.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e463d22f908190ae0f1eeafbe54459 |
completed | April 19, 2026, 5:10 a.m. |
Created at: April 10, 2026, 5:50 a.m.