Triple
T12435108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sabato Morais |
E297123
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Morais |
E976507
|
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: Morais | Statement: [Sabato Morais, familyName, Morais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morais Context triple: [Sabato Morais, familyName, Morais]
-
A.
Morais
chosen
Morais is the family name of Brazilian football legend Cafu, renowned as one of the greatest right-backs in the history of the sport.
-
B.
Osorio
Osorio is a Spanish-language surname borne by various notable individuals across sports, politics, and the arts.
-
C.
Almeida
Almeida is a municipality in the Boyacá Department of Colombia, known for its rural Andean setting and traditional agricultural economy.
-
D.
Almeida
Almeida is a historic fortified town and municipality in northeastern Portugal, renowned for its star-shaped defensive walls and well-preserved military architecture.
-
E.
Negrete
Negrete is a small town and commune in Chile’s Biobío Region, known for its rural character and location near the Biobío River.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d804c2c819082f2f86edcbb50de |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6349f0f34819080e7d7f83f7baece |
completed | May 2, 2026, 5:30 p.m. |
Created at: April 8, 2026, 9:55 p.m.