Triple
T16289577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trinidad de Leon Roxas |
E395481
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | de Leon |
E523837
|
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: de Leon | Statement: [Trinidad de Leon Roxas, familyName, de Leon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de Leon Context triple: [Trinidad de Leon Roxas, familyName, de Leon]
-
A.
de León
De León is a Spanish surname of Sephardic Jewish origin historically associated with notable figures in religious and cultural scholarship.
-
B.
De Leon
chosen
De Leon is a surname of Spanish origin commonly borne by individuals and places in Spanish-speaking and former Spanish-colonial regions.
-
C.
De Los Reyes
De Los Reyes is a Spanish-language surname commonly borne by individuals of Hispanic heritage.
-
D.
Cayetano
Cayetano is a Spanish given name and surname, historically associated with Saint Cajetan and commonly used in Spanish-speaking countries.
-
E.
De La Cruz
De La Cruz is a Hispanic surname commonly found in Spanish-speaking communities and among people of Latin American descent.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e249175e24819082e571039e278056 |
completed | April 17, 2026, 2:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f94ede48190835e8a0c6f5d0f19 |
completed | May 10, 2026, 6:03 a.m. |
Created at: April 10, 2026, 5:05 a.m.