Triple
T4960111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | João Soares |
E111383
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Soares |
E104074
|
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: Soares | Statement: [João Soares, familyName, Soares]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Soares Context triple: [João Soares, familyName, Soares]
-
A.
Soares
chosen
Soares is a common Portuguese surname borne by numerous notable figures in politics, sports, and the arts.
-
B.
Sebastião
Sebastião is the Portuguese variant of the given name Sebastian, commonly used in Portuguese-speaking countries.
-
C.
Diogo
Diogo is a masculine given name, commonly used in Portuguese-speaking countries and related to the name Diego.
-
D.
Moraes Zogoiby
Moraes Zogoiby is the physically deformed, fast-aging narrator and protagonist of Salman Rushdie’s novel "The Moor’s Last Sigh," whose life story reflects the tumultuous history and cultural hybridity of modern India.
-
E.
Azevêdo
Azevêdo is a Portuguese-language surname commonly found in Brazil and Portugal, associated with several notable public figures.
- 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_69bd4419393c819086319a6fe4bf8542 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd71da80008190a0d606d5091822b8 |
completed | March 20, 2026, 4:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be81e7dba88190ab0f2d99a931cf0e |
completed | March 21, 2026, 11:32 a.m. |
Created at: March 20, 2026, 1:32 p.m.