Triple
T19414834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Fernandes |
E485685
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Fernandes |
—
|
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: Fernandes | Statement: [Tony Fernandes, familyName, Fernandes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fernandes Context triple: [Tony Fernandes, familyName, Fernandes]
-
A.
Fernandes
chosen
Fernandes is a common Portuguese surname, often patronymic in origin and widely found in Portugal, Brazil, and other Lusophone communities.
-
B.
Ferreira
Ferreira is a common Portuguese and Spanish surname borne by numerous notable individuals across sports, arts, and public life.
-
C.
Fernando Gomes
Fernando Gomes is a Portuguese sports executive best known for serving as president of the Portuguese Football Federation and holding influential roles in European and international football governance.
-
D.
Gomes
Gomes is a common Portuguese surname shared by many individuals, including the artist Fernanda Gomes.
-
E.
Fernando Nunes
Fernando Nunes is a person notable enough to be recognized as a significant bearer of the surname Nunes.
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62af90758819088999d98d270011a |
completed | April 20, 2026, 1:32 p.m. |
Created at: April 10, 2026, 1:37 p.m.