Triple
T18917070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerardo Machado |
E462749
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Machado |
—
|
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: Machado | Statement: [Gerardo Machado, familyName, Machado]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Machado Context triple: [Gerardo Machado, familyName, Machado]
-
A.
Machado
chosen
Machado is a surname most prominently associated with Manny Machado, an All-Star Major League Baseball third baseman and shortstop.
-
B.
Pacheco
Pacheco is a Spanish surname borne by various notable figures in fields such as politics, arts, and sports.
-
C.
Maceda
Maceda is a civil parish located within the municipality of Ovar in Portugal.
-
D.
Barreto
Barreto is a Portuguese-origin surname common in Brazil and other Lusophone countries, borne by numerous notable figures in fields such as film, literature, and politics.
-
E.
Magaña
Magaña is a Spanish-language surname of Hispanic origin borne by various notable individuals in Mexico and other Spanish-speaking countries.
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c627724881909cf63c67d64321e8 |
completed | April 20, 2026, 6:22 a.m. |
Created at: April 10, 2026, 11:58 a.m.