Triple
T1744005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gorgias |
E38295
|
entity |
| Predicate | positionOfSocratesOnPunishment |
P32042
|
FINISHED |
| Object | punishment is a cure for the soul |
—
|
LITERAL 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: punishment is a cure for the soul | Statement: [Gorgias, positionOfSocratesOnPunishment, punishment is a cure for the soul]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOfSocratesOnPunishment Context triple: [Gorgias, positionOfSocratesOnPunishment, punishment is a cure for the soul]
-
A.
relationshipToSocrates
Indicates the specific familial, social, or conceptual connection that one entity has to Socrates.
-
B.
placeOfConviction
Indicates the location where a person was formally convicted of a crime or offense.
-
C.
punishmentLocation
Indicates the place or setting where a punishment is carried out or imposed.
-
D.
punishedBy
Indicates that an entity receives punishment administered by another entity.
-
E.
sentencedTo
Indicates that an authority has officially assigned a specific punishment or penalty to an entity, typically as the outcome of a legal or disciplinary process.
- F. None of above. chosen
Provenance (4 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_69a8862b01a48190ab47209063af82d9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab630e7d008190a8c673665d9672bb |
completed | March 6, 2026, 11:28 p.m. |
| PD | Predicate disambiguation | batch_69aa61c5a18481909bc49e0c54d64314 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab630cb34881908c9fb7ed5dedcd77 |
completed | March 6, 2026, 11:28 p.m. |
Created at: March 4, 2026, 7:31 p.m.