Triple
T13284576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juan O’Donojú |
E316409
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | O’Donojú |
E316409
|
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: O’Donojú | Statement: [Juan O’Donojú, familyName, O’Donojú]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: O’Donojú Context triple: [Juan O’Donojú, familyName, O’Donojú]
-
A.
O’Donojú
chosen
O’Donojú is the surname of Juan O’Donojú, the last Spanish political chief of New Spain who played a key role in Mexico’s transition to independence.
-
B.
Oteiza
Oteiza is a Basque surname most notably associated with the Spanish sculptor and artist Jorge Oteiza.
-
C.
Gamboa
Gamboa is a small town in Panama best known for its location along the Panama Canal and its proximity to the surrounding rainforest and canal infrastructure.
-
D.
Dos Santos
Dos Santos is a common Portuguese-language surname, especially prevalent in Brazil and other Lusophone countries.
-
E.
Echeandia
Echeandia is a genus of flowering plants in the asparagus order, known for its grass-like leaves and often yellow, star-shaped flowers native to the Americas.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99047531c819087aa6406de1ddc82 |
completed | April 11, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a5a98488190804a97a052741377 |
completed | May 3, 2026, 8:42 a.m. |
Created at: April 9, 2026, 9:27 p.m.