Triple
T29102979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commentary on Plato's Cratylus |
E736686
|
entity |
| Predicate | interpretsNamesAs |
P4529
|
FINISHED |
| Object | images of intelligible realities |
—
|
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: images of intelligible realities | Statement: [Commentary on Plato's Cratylus, interpretsNamesAs, images of intelligible realities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interpretsNamesAs Context triple: [Commentary on Plato's Cratylus, interpretsNamesAs, images of intelligible realities]
-
A.
namesAs
Indicates that one entity assigns or uses a particular name or label to refer to another entity.
-
B.
namedAs
Indicates that one entity is given, known by, or referred to using the name of another entity.
-
C.
interpretedAs
chosen
Indicates that something is understood, perceived, or taken to mean something else, often based on context or subjective judgment.
-
D.
isInterpretedDifferentlyIn
Indicates that the same item, event, or expression is understood or construed in a different way within a specified context, group, or setting.
-
E.
knowsAs
Indicates that one entity recognizes or refers to another entity by a particular name, alias, or identifier.
- F. None of above.
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_69f077ec765c81909474c88bcc8bab43 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f79f48acec8190a9d5964581a94f6c |
completed | May 3, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
Created at: April 28, 2026, 11:13 a.m.