Triple
T8719287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hernani |
E206970
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Doña Sol |
E93172
|
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: Doña Sol | Statement: [Hernani, mainCharacter, Doña Sol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doña Sol Context triple: [Hernani, mainCharacter, Doña Sol]
-
A.
Doña Sol
chosen
Doña Sol is a seductive and aristocratic woman who becomes the torero’s dangerous love interest in the 1922 silent film "Blood and Sand."
-
B.
El Rosal
El Rosal is a municipality in the Cundinamarca Department of Colombia, located in the Bogotá savanna near the capital city.
-
C.
Laura del Sol
Laura del Sol is a Spanish actress best known internationally for her roles in films such as "The Hit" and Carlos Saura’s flamenco dramas.
-
D.
La Rojita
La Rojita is the nickname of Spain’s under-21 national football team, renowned for developing many of the country’s future senior stars.
-
E.
Dona
Dona is the nickname of Augusta Victoria of Schleswig-Holstein, the last German Empress and Queen of Prussia as the wife of Kaiser Wilhelm II.
- 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_69ca83572d4881909bef3be2b578d539 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d014e208190a4c6055901580d0c |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf28ec7148819096f7fa33e4588b62 |
completed | April 3, 2026, 2:41 a.m. |
Created at: March 30, 2026, 6:36 p.m.