Triple
T3797336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Conflict of Ages |
E91603
|
entity |
| Predicate | typeOfArgument |
P4224
|
FINISHED |
| Object | theodicy |
—
|
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: theodicy | Statement: [The Conflict of Ages, typeOfArgument, theodicy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfArgument Context triple: [The Conflict of Ages, typeOfArgument, theodicy]
-
A.
argumentType
Indicates that one entity serves as a specific semantic or syntactic argument role (such as subject, object, or complement) in relation to another entity or event.
-
B.
typeOf
chosen
Indicates that one entity is a specific kind, class, or category instance of another more general entity.
-
C.
typeOfCondition
Indicates that one condition is a specific kind, category, or subtype of another condition.
-
D.
usedInArgumentFor
Indicates that something (such as a statement, piece of evidence, or concept) is employed as support within an argument advocating for a particular claim or position.
-
E.
typeOfRule
Indicates that one rule is classified as a specific kind or category of another, more general rule.
- 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_69aed96354f48190a768966d6bd19b04 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeecefa3608190a7a20ed6df6a64b2 |
completed | March 9, 2026, 3:53 p.m. |
| PD | Predicate disambiguation | batch_69aee743c8d08190a9f9c97b836bd703 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:15 p.m.