Triple
T25580418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thunder |
E641224
|
entity |
| Predicate | isUsedMetaphoricallyFor |
P93472
|
FINISHED |
| Object | divine wrath |
—
|
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: divine wrath | Statement: [Thunder, isUsedMetaphoricallyFor, divine wrath]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUsedMetaphoricallyFor Context triple: [Thunder, isUsedMetaphoricallyFor, divine wrath]
-
A.
hasMetaphoricalForm
Indicates that one entity is expressed, represented, or understood through a metaphorical form or figurative expression involving another entity.
-
B.
figurativeMeaning
chosen
Indicates that one entity is used in a non-literal, metaphorical, or symbolic sense to convey a meaning about another entity or concept.
-
C.
metaphoricallyOpposes
Indicates a figurative or symbolic opposition between two entities, where one concept stands in contrast to or challenges the other in a non-literal, metaphorical sense.
-
D.
hasMetaphoricalSubject
Indicates that one entity functions as the metaphorical subject or source domain in a figurative or metaphorical expression involving another entity.
-
E.
hasMetaphoricalContent
Indicates that something contains or expresses meaning through metaphorical, rather than purely literal, content.
- 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_69e75dc42b588190a98b58e0df359674 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f934be208190aed5a7f6a44b6b83 |
completed | May 2, 2026, 1:16 p.m. |
| PD | Predicate disambiguation | batch_69f49377411c8190b2188de444d76795 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 4:11 p.m.