Triple
T13209846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niceto Alcalá-Zamora |
E314460
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Niceto |
E314460
|
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: Niceto | Statement: [Niceto Alcalá-Zamora, givenName, Niceto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niceto Context triple: [Niceto Alcalá-Zamora, givenName, Niceto]
-
A.
Niceto
chosen
Niceto is the given name of Niceto Alcalá-Zamora, the first President of the Second Spanish Republic.
-
B.
Fulgencio
Fulgencio is a Spanish given name most notably borne by Fulgencio Batista, the former Cuban military leader and president.
-
C.
Pío
Pío is a Spanish given name most famously borne by Pío Pico, the last governor of Alta California under Mexican rule.
-
D.
Manuel
Manuel is one of the twin brothers and central tragic figures in Thornton Wilder’s novel "The Bridge of San Luis Rey," whose life and death help explore themes of love, fate, and divine purpose.
-
E.
Manuel
Manuel is a masculine given name of Hebrew origin, commonly used in Spanish- and Portuguese-speaking countries and derived from "Emmanuel," meaning "God is with us."
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c9e072c8190b66e2c2430628ed0 |
completed | April 10, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f72662a7088190b0aacc47b37390f4 |
completed | May 3, 2026, 10:41 a.m. |
Created at: April 9, 2026, 9:17 p.m.