Triple
T17055072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pelayo |
E413798
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Gaudiosa |
E1247793
|
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: Gaudiosa | Statement: [Pelayo, spouse, Gaudiosa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaudiosa Context triple: [Pelayo, spouse, Gaudiosa]
-
A.
Gaudiosa
chosen
Gaudiosa was a queen consort of the early medieval Kingdom of Asturias, known primarily as the wife of King Pelagius, the founder of the Asturian monarchy and initiator of the Christian Reconquista in Iberia.
-
B.
Creüsa
Creüsa is a figure in Greek mythology, often known as an Athenian princess and mother of Ion by the god Apollo.
-
C.
El Rosal
El Rosal is a municipality in the Cundinamarca Department of Colombia, located in the Bogotá savanna near the capital city.
-
D.
Morenada
Morenada is a traditional Bolivian folk dance and music style, characterized by heavy costumes, elaborate masks, and rhythms that evoke the labor of African slaves in colonial mines.
-
E.
La Bella
La Bella is a celebrated Renaissance portrait painting by Titian depicting an elegantly dressed young woman, renowned for its rich color and refined beauty.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3daa54c808190a6e8333c413f4e26 |
completed | April 18, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ed60d3481909c8144bcb01316a1 |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:34 a.m.