Triple
T23515225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ella of Frell |
E574341
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ella |
—
|
NE NERFINISHED |
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: Ella | Statement: [Ella of Frell, givenName, Ella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ella Context triple: [Ella of Frell, givenName, Ella]
-
A.
Ella
chosen
Ella is a feminine given name most famously associated with legendary American jazz singer Ella Fitzgerald.
-
B.
Ella
Ella is a scenic hill town in Sri Lanka’s Uva Province, known for its lush tea plantations, mountain views, and popular hiking trails such as Little Adam’s Peak and Ella Rock.
-
C.
Ella
Ella is one of the small islands that make up Ifalik Atoll in the Federated States of Micronesia.
-
D.
Ella Williams
Ella Williams is the respondent and central figure in the U.S. Supreme Court case Toyota Motor Manufacturing, Kentucky, Inc. v. Williams, which addressed the legal definition of disability under the Americans with Disabilities Act.
-
E.
Ella Dixon
Ella Dixon is the daughter of American actress Jennifer Beals and her husband, Ken Dixon.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245bb3dcc8190ba9a2b35972b58d0 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1aa80d9048190ab735dddd301feb4 |
completed | April 29, 2026, 6:51 a.m. |
Created at: April 17, 2026, 6:08 p.m.