Triple
T20673911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dee Dee Sharp |
E508109
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Dione |
—
|
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: Dione | Statement: [Dee Dee Sharp, givenName, Dione]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dione Context triple: [Dee Dee Sharp, givenName, Dione]
-
A.
Dione
Dione is an icy mid-sized moon of Saturn known for its bright, heavily cratered surface and extensive system of fractures and cliffs.
-
B.
Dione
chosen
Dione is a figure in Greek mythology often regarded as a Titaness or early goddess associated with oracular power and sometimes identified as the mother of Aphrodite.
-
C.
Amalthea
Amalthea is a nurturing figure from Greek mythology, often depicted as the goat or nymph who cared for the infant Zeus and is associated with the origin of the cornucopia.
-
D.
Amalthea
Amalthea is a small, irregularly shaped inner moon of Jupiter known for its reddish color and porous, low-density composition.
-
E.
Tethys
Tethys is one of Saturn’s mid-sized icy moons, known for its bright, heavily cratered surface and massive Odysseus impact basin.
- 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_69e0b4c1164881909a3bf1e3ddb2bc32 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5cca8808190a60ee28c7ea46412 |
completed | April 20, 2026, 11:25 p.m. |
Created at: April 16, 2026, 11:44 a.m.