Triple
T2733759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Socratic dialogues of Plato |
E60378
|
entity |
| Predicate | includesWork |
P2011
|
FINISHED |
| Object | Ion |
E36437
|
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: Ion | Statement: [Socratic dialogues of Plato, includesWork, Ion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ion Context triple: [Socratic dialogues of Plato, includesWork, Ion]
-
A.
Ion
chosen
Ion is a short Platonic dialogue in which Socrates examines the nature of poetic inspiration and the rhapsode’s art through conversation with the professional reciter Ion.
-
B.
Ion
Ion is a figure in Greek mythology often associated with the legendary ancestry of the Ionian Greeks and the region of Ionia.
-
C.
Ian
Ian is a masculine given name of Scottish Gaelic origin that has become widely used in English-speaking countries.
-
D.
Oni
Oni is a small town in the Racha region of northwestern Georgia, known for its mountainous surroundings and traditional Georgian architecture.
-
E.
Auron
Auron is a river in central France that flows through the Cher department and joins the Yèvre near the city of Bourges.
- 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_69ab4b75cd908190b691ef0d1801acda |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdaf175808190acbbb3873c7c3f67 |
completed | March 7, 2026, 7:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb6a15e548190a118880f9904f9cc |
completed | March 10, 2026, 6:13 a.m. |
Created at: March 6, 2026, 9:56 p.m.