Triple
T1760942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meno |
E38655
|
entity |
| Predicate | relatedWork |
P37
|
FINISHED |
| Object | Phaedo |
E7081
|
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: Phaedo | Statement: [Meno, relatedWork, Phaedo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phaedo Context triple: [Meno, relatedWork, Phaedo]
-
A.
Phaedo
chosen
Phaedo is a Platonic dialogue that recounts the final hours and philosophical discussions of Socrates before his execution.
-
B.
Timaeus
Timaeus is a Platonic dialogue that presents a cosmological account of the universe’s creation, structure, and order through the speech of the character Timaeus.
-
C.
Phaedrus
Phaedrus is a philosophical dialogue by Plato that explores themes of love, rhetoric, and the soul through a conversation between Socrates and the young Athenian Phaedrus.
-
D.
La Mort de Socrate
La Mort de Socrate is the original French title of Jacques-Louis David’s famous 1787 Neoclassical painting depicting the philosopher Socrates calmly accepting his death by hemlock.
-
E.
Philebus
Philebus is one of Plato’s later philosophical dialogues, chiefly concerned with examining the nature of pleasure, knowledge, and the good life.
- 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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa64410b58819098be7dc5da23d7af |
completed | March 6, 2026, 5:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adb5c4f7cc8190a60d3bd276711b27 |
completed | March 8, 2026, 5:45 p.m. |
Created at: March 4, 2026, 7:31 p.m.