Triple
T606327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tennis Court Oath (unfinished) |
E12001
|
entity |
| Predicate | depictsSymbol |
P1581
|
FINISHED |
| Object | storm and wind entering through windows |
—
|
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: storm and wind entering through windows | Statement: [The Tennis Court Oath (unfinished), depictsSymbol, storm and wind entering through windows]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsSymbol Context triple: [The Tennis Court Oath (unfinished), depictsSymbol, storm and wind entering through windows]
-
A.
depicts
chosen
Indicates that one entity visually represents, portrays, or shows another entity.
-
B.
symbolizes
Indicates that one entity stands for, represents, or is used as a sign for another entity, concept, or idea.
-
C.
depictionType
Indicates the specific manner or style in which something is visually represented or depicted.
-
D.
depictsPerson
Indicates that one entity visually represents or portrays a specific person.
-
E.
depictsNationality
Indicates that one entity visually represents or portrays the nationality or national identity of another entity.
- 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_69a493309df48190a327f748e88049a6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49df34abc8190a578c8c2ab3d28e4 |
completed | March 1, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69a49cf8fc1c81908a9c7df552aa1a59 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.