Triple
T5434272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Double Man |
E121568
|
entity |
| Predicate | reflectsAuthorTransition |
P64040
|
FINISHED |
| Object | from political themes to religious themes |
—
|
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: from political themes to religious themes | Statement: [The Double Man, reflectsAuthorTransition, from political themes to religious themes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reflectsAuthorTransition Context triple: [The Double Man, reflectsAuthorTransition, from political themes to religious themes]
-
A.
selfReferenceOfAuthor
Indicates that an author is making a reference to themselves within a work or context.
-
B.
hasAuthorRelationship
Indicates a relationship where one entity serves as the author or creator of another entity (such as a work, document, or resource).
-
C.
associatedWithAuthorCycle
Indicates a relationship where an entity is linked to a recurring or cyclical pattern involving an author, such as repeated collaborations, works, or roles over time.
-
D.
hasAuthor
Indicates that an entity is written or created by a specific author.
-
E.
authorshipInitially
Indicates that an entity is the original or first author/creator of another entity before any subsequent authorship changes or contributions.
- F. None of above. chosen
Provenance (4 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_69bd463c65f0819082ee6483ab4b466a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd922f66bc8190b7d47fd68d2fcf2e |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd919aeb048190b786f814177d6cd9 |
completed | March 20, 2026, 6:27 p.m. |
| PDg | Predicate description generation | batch_69bd922dc688819092bf33589ebc6d50 |
completed | March 20, 2026, 6:30 p.m. |
Created at: March 20, 2026, 2:06 p.m.