Triple
T15197544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karen Sillas |
E363175
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Sillas
Sillas is a surname most notably associated with American actress Karen Sillas, known for her work in independent film and television.
|
E1142850
|
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: Sillas | Statement: [Karen Sillas, familyName, Sillas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sillas Context triple: [Karen Sillas, familyName, Sillas]
-
A.
Silla
Silla was an ancient Korean kingdom that unified most of the Korean Peninsula in the 7th century and played a central role in the development of early Korean culture, Buddhism, and statehood.
-
B.
Asientos
Asientos is a historic mining town and municipality in the northeastern part of the Mexican state of Aguascalientes.
-
C.
Sofades
Sofades is a town and municipality in central Greece, located in the Thessaly region within the Karditsa regional unit.
-
D.
Sitton
Sitton is a surname of English origin borne by various notable individuals, including athletes and public figures.
-
E.
Mikeschair
Mikeschair is a contemporary Christian music band known for their melodic worship songs and inspirational lyrics.
- 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: Sillas Triple: [Karen Sillas, familyName, Sillas]
Generated description
Sillas is a surname most notably associated with American actress Karen Sillas, known for her work in independent film and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sillas Target entity description: Sillas is a surname most notably associated with American actress Karen Sillas, known for her work in independent film and television.
-
A.
Silla
Silla was an ancient Korean kingdom that unified most of the Korean Peninsula in the 7th century and played a central role in the development of early Korean culture, Buddhism, and statehood.
-
B.
Asientos
Asientos is a historic mining town and municipality in the northeastern part of the Mexican state of Aguascalientes.
-
C.
Sofades
Sofades is a town and municipality in central Greece, located in the Thessaly region within the Karditsa regional unit.
-
D.
Sitton
Sitton is a surname of English origin borne by various notable individuals, including athletes and public figures.
-
E.
Mikeschair
Mikeschair is a contemporary Christian music band known for their melodic worship songs and inspirational lyrics.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067fcc788190abdc083d4eadeb36 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed3342624819087be35acadd88136 |
completed | May 9, 2026, 6:24 a.m. |
| NEDg | Description generation | batch_69fed516a2008190bab6da27d28289e7 |
completed | May 9, 2026, 6:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fed57659a081909ec777549deff505 |
completed | May 9, 2026, 6:34 a.m. |
Created at: April 10, 2026, 3:10 a.m.