Triple
T7316129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camilo Torres Tenorio |
E168416
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Camilo |
E252465
|
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: Camilo | Statement: [Camilo Torres Tenorio, givenName, Camilo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camilo Context triple: [Camilo Torres Tenorio, givenName, Camilo]
-
A.
Camilo
chosen
Camilo is a masculine given name of Spanish origin, notably borne by Cuban revolutionary leader Camilo Cienfuegos.
-
B.
Camilo Madrigal
Camilo Madrigal is a shape-shifting teenage member of the magical Madrigal family in Disney’s animated film "Encanto," known for his playful personality and ability to transform into other people.
-
C.
Andrés
Andrés is a Spanish given name commonly used as the equivalent of Andrew.
-
D.
Camilo Escalona
Camilo Escalona is a Chilean politician and long-time leader of the Socialist Party who has played a prominent role in the country’s post-dictatorship democratic politics.
-
E.
Gerardo
Gerardo is a masculine given name of Germanic origin, commonly used in Spanish and Italian-speaking countries.
- 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_69c68a5251508190ad68df4151cfeb04 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6ef162d488190bf1c63b71b20a294 |
completed | March 27, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7eef3b1c48190ae65a136121b39cb |
completed | March 28, 2026, 3:08 p.m. |
Created at: March 27, 2026, 3:02 p.m.