Triple
T14752001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sienna Rose Diana Miller |
E346632
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Sienna |
E346633
|
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: Sienna | Statement: [Sienna Rose Diana Miller, givenName, Sienna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sienna Context triple: [Sienna Rose Diana Miller, givenName, Sienna]
-
A.
Sienna
chosen
Sienna is a feminine given name most prominently associated with English-American actress and fashion icon Sienna Miller.
-
B.
Sianne
Sianne is a river that serves as a tributary to the Alagnon in south-central France.
-
C.
Rainelle
Rainelle is a small town located in western Greenbrier County, West Virginia, historically tied to the lumber industry and the surrounding Appalachian region.
-
D.
Saraya
Saraya is a professional wrestler best known for her groundbreaking WWE career under the name Paige and later work in All Elite Wrestling.
-
E.
Lynna
Lynna is a feminine given name, typically considered a variant of Lynn or Lynne.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d40efc8190bb1be34c19a2b57c |
completed | April 14, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb9a56a08190b6a178cd930a072d |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:30 a.m.