Triple
T3971690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theodicy |
E92349
|
entity |
| Predicate | notableThesis |
P31329
|
FINISHED |
| Object | this is the best of all possible worlds |
—
|
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: this is the best of all possible worlds | Statement: [Theodicy, notableThesis, this is the best of all possible worlds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableThesis Context triple: [Theodicy, notableThesis, this is the best of all possible worlds]
-
A.
notableEssay
Indicates that an entity is the author or creator of an essay that is particularly significant, influential, or well-known.
-
B.
notableProfessor
Indicates that a person holds or has held a professorship that is distinguished, prominent, or otherwise recognized as notable.
-
C.
coreThesis
chosen
Indicates that something expresses, embodies, or constitutes the central argument or main claim within a larger work, discussion, or theory.
-
D.
hasNotableScholar
Indicates that an entity is associated with a scholar who is recognized as particularly distinguished or influential in relation to that entity.
-
E.
numberOfTheses
Indicates the total count of theses associated with a given entity or context.
- 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_69aed96624188190ac8c45bb57ab72b5 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaca33e4819091957c7915857a42 |
completed | March 9, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69aef8f252b081909749d40440d372b2 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:32 p.m.