Triple
T11980548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angel Corella |
E285145
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Corella
Corella is a Spanish surname most notably associated with Ángel Corella, a renowned ballet dancer and artistic director.
|
E958092
|
NE FINISHED |
How this triple was built (4 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: Corella | Statement: [Angel Corella, familyName, Corella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corella Context triple: [Angel Corella, familyName, Corella]
-
A.
Pegusa
Pegusa is a genus of flatfish within the family Soleidae, comprising several species of soles found in coastal and estuarine waters of the eastern Atlantic and Mediterranean.
-
B.
Corisande
Corisande is a noble lady and love interest in the medieval chivalric romance cycle "Amadis de Gaula."
-
C.
Celon
Celon is a river from J.R.R. Tolkien’s Middle-earth legendarium, known as a tributary of the Sirion flowing through the lands of Beleriand.
-
D.
Cameirus
Cameirus was one of the principal ancient cities of Rhodes, known for its strategic location and role in the island’s early political and military history.
-
E.
Meliae
The Meliae are nymphs from Greek mythology associated with ash trees and often linked to the early generations of humanity and rustic woodland life.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Corella Triple: [Angel Corella, familyName, Corella]
Generated description
Corella is a Spanish surname most notably associated with Ángel Corella, a renowned ballet dancer and artistic director.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Corella Target entity description: Corella is a Spanish surname most notably associated with Ángel Corella, a renowned ballet dancer and artistic director.
-
A.
Pegusa
Pegusa is a genus of flatfish within the family Soleidae, comprising several species of soles found in coastal and estuarine waters of the eastern Atlantic and Mediterranean.
-
B.
Corisande
Corisande is a noble lady and love interest in the medieval chivalric romance cycle "Amadis de Gaula."
-
C.
Celon
Celon is a river from J.R.R. Tolkien’s Middle-earth legendarium, known as a tributary of the Sirion flowing through the lands of Beleriand.
-
D.
Cameirus
Cameirus was one of the principal ancient cities of Rhodes, known for its strategic location and role in the island’s early political and military history.
-
E.
Meliae
The Meliae are nymphs from Greek mythology associated with ash trees and often linked to the early generations of humanity and rustic woodland life.
- F. None of above. chosen
Provenance (5 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90395a8788190bfbb3506c29e3825 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f47209bd088190bf4c7687c0a5eed6 |
completed | May 1, 2026, 9:27 a.m. |
| NEDg | Description generation | batch_69f47b7ac4048190ae09f18f1a90338f |
completed | May 1, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f47db91f38819092b7b5c5e2bb489b |
completed | May 1, 2026, 10:17 a.m. |
Created at: April 8, 2026, 9:46 p.m.