Triple
T30609449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Devil’s Hour |
E779135
|
entity |
| Predicate | protagonistExperiences |
P106748
|
FINISHED |
| Object | waking every night at 3:33 a.m. |
—
|
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: waking every night at 3:33 a.m. | Statement: [The Devil’s Hour, protagonistExperiences, waking every night at 3:33 a.m.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: protagonistExperiences Context triple: [The Devil’s Hour, protagonistExperiences, waking every night at 3:33 a.m.]
-
A.
protagonistAction
Indicates that the referenced entity performs the central or primary action associated with the main character in a narrative or scenario.
-
B.
protagonistConfronts
Indicates that a main character directly faces and challenges another character, force, or problem in a conflictual encounter.
-
C.
protagonistIs
Indicates that one entity serves as the main character or central figure in relation to another entity or narrative context.
-
D.
protagonistReaction
Indicates how a main character responds emotionally or behaviorally to a particular event, situation, or stimulus.
-
E.
experiencedByCharacter
chosen
Indicates that a particular event, situation, or emotion is undergone or lived through by a specific character.
- 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_69f224a21fc08190abd9d8dd9eb6bb4c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6cee45590819086e489bfccbe4ac3 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 29, 2026, 8:26 p.m.