Triple
T583360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plato's Symposium |
E15103
|
entity |
| Predicate | centralImage |
P4751
|
FINISHED |
| Object | ladder of love |
—
|
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: ladder of love | Statement: [Plato's Symposium, centralImage, ladder of love]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralImage Context triple: [Plato's Symposium, centralImage, ladder of love]
-
A.
publicImage
Indicates how an entity is perceived or represented by the general public or broader audience.
-
B.
centralText
Indicates that one text element is positioned or designated as the central or primary text relative to surrounding content or layout.
-
C.
centralIn
chosen
Indicates that one entity occupies a central or most important position within another entity, context, or structure.
-
D.
centerType
Indicates the classification or category of a center (e.g., type of facility, institution, or hub) associated with an entity.
-
E.
hasCentralFigure
Indicates that something features a primary or most important figure at its core or focus.
- 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_69a4935783b8819082b77726ec10cc42 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49b8745c88190af9672e5fe8396c3 |
completed | March 1, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69a494c9315c8190a773e8e00737d8a0 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.