Triple
T12751166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | People of the Garden |
E304731
|
entity |
| Predicate | usedAsParableFor |
P41972
|
FINISHED |
| Object | Meccan disbelievers |
—
|
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: Meccan disbelievers | Statement: [People of the Garden, usedAsParableFor, Meccan disbelievers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsParableFor Context triple: [People of the Garden, usedAsParableFor, Meccan disbelievers]
-
A.
containsParable
Indicates that one entity includes or incorporates a parable within it.
-
B.
usedAsExampleIn
Indicates that one entity is cited or presented as an illustrative example within another entity, such as a text, discussion, or explanation.
-
C.
usedToExplain
Indicates that one entity serves as an explanation or clarification for another entity.
-
D.
usedAsTrope
Indicates that something functions as a recurring narrative device, motif, or cliché within a story or set of stories.
-
E.
isUsedToIllustrate
chosen
Indicates that one entity serves as an example or demonstration to clarify, explain, or represent 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96406e97c8190b79081039847115c |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:27 p.m.