Triple
T13933768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emiliano Zapata |
E335056
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Emiliano |
E641150
|
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: Emiliano | Statement: [Emiliano Zapata, givenName, Emiliano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emiliano Context triple: [Emiliano Zapata, givenName, Emiliano]
-
A.
Emiliano
chosen
Emiliano is a masculine given name of Spanish and Italian origin, derived from the Roman family name Aemilius.
-
B.
Teodorito
Teodorito is a Spanish diminutive form of the given name Teodoro, typically used as an affectionate or familiar nickname.
-
C.
Demetrio
Demetrio is an 18th-century opera libretto by Italian poet and dramatist Pietro Metastasio, widely set to music by numerous composers of the period.
-
D.
Alejo
Alejo is a Spanish given name commonly used as a short form of Alejandro.
-
E.
Martín
Martín is a masculine given name of Latin origin, commonly used in Spanish-speaking countries and derived from the name Martinus, associated with the Roman god Mars.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf28df081908d897d7b9ec7939d |
completed | April 14, 2026, 12:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a2df73c8190aeb6f472ac7ebeed |
completed | May 8, 2026, 5:52 a.m. |
Created at: April 9, 2026, 10:17 p.m.