Triple
T20264126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bartolomé Mitre |
E498919
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Bartolomé |
—
|
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: Bartolomé | Statement: [Bartolomé Mitre, givenName, Bartolomé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bartolomé Context triple: [Bartolomé Mitre, givenName, Bartolomé]
-
A.
Bartolomé
chosen
Bartolomé is the namesake of Bartolomé House, likely a historically or academically significant figure associated with that building.
-
B.
Bartolomeo
Bartolomeo is a masculine Italian given name historically borne by several notable figures, including artists, architects, and explorers.
-
C.
Diego de Valdés
Diego de Valdés was a Spanish nobleman and military figure from the influential Valdés family, active during the late Middle Ages.
-
D.
Gutierre
Gutierre is a Spanish given name, historically used in medieval Iberia and related to names like Walter.
-
E.
Diego de Santa María
Diego de Santa María was a Spanish Dominican friar and educator best known for establishing the Colegio de San Juan de Letran in the Philippines.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674ce27688190b31d7a6c98d3ec5e |
completed | April 20, 2026, 6:47 p.m. |
Created at: April 11, 2026, 11:41 p.m.