Triple
T18986757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ella |
E464576
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Ella Rock |
—
|
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 Rock | Statement: [Ella, knownFor, Ella Rock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ella Rock Context triple: [Ella, knownFor, Ella Rock]
-
A.
Ella
chosen
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.
-
B.
Ella
Ella is one of the small islands that make up Ifalik Atoll in the Federated States of Micronesia.
-
C.
Ella
Ella is a feminine given name most famously associated with legendary American jazz singer Ella Fitzgerald.
-
D.
Ella Dixon
Ella Dixon is the daughter of American actress Jennifer Beals and her husband, Ken Dixon.
-
E.
Ella Garth
Ella Garth is the central protagonist of the film "Wild River," around whom the story’s emotional and dramatic conflicts revolve.
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d660835c8190bedd78590b3e0a7e |
completed | April 20, 2026, 7:31 a.m. |
Created at: April 10, 2026, 12:01 p.m.