Triple
T2072317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maurice |
E44841
|
entity |
| Predicate | cognate |
P2527
|
FINISHED |
| Object | Mauricio |
E231289
|
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: Mauricio | Statement: [Maurice, cognate, Mauricio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mauricio Context triple: [Maurice, cognate, Mauricio]
-
A.
Mauricio
chosen
Mauricio is a masculine given name, commonly used in Spanish- and Portuguese-speaking countries, derived from the Latin name Mauritius.
-
B.
Jorge Guillermo
Jorge Guillermo is a Cuban-born American educator and former husband of Princess Christina of the Netherlands.
-
C.
Julián Felipe
Julián Felipe was a Filipino composer best known for writing the music of the Philippine national anthem.
-
D.
Marcelo
Marcelo is a common Portuguese and Spanish given name, notably borne by figures such as Brazilian footballer Marcelo Vieira and former Portuguese Prime Minister Marcelo Caetano.
-
E.
Juan José Flores
Juan José Flores was a Venezuelan-born military leader and statesman who became the first president of Ecuador and played a key role in the country’s early republican history.
- 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_69a88916c2b48190a5ca2e9b12cad3ed |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abba0eaa5081908f6d6ff80f79b1c9 |
completed | March 7, 2026, 5:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae30547b288190ab9466686f749768 |
completed | March 9, 2026, 2:28 a.m. |
Created at: March 4, 2026, 7:41 p.m.