Triple
T28669770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Intoxicated |
E725680
|
entity |
| Predicate | secondaryCharacterTrait |
P191889
|
FINISHED |
| Object | disturbing clarity |
—
|
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: disturbing clarity | Statement: [The Intoxicated, secondaryCharacterTrait, disturbing clarity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondaryCharacterTrait Context triple: [The Intoxicated, secondaryCharacterTrait, disturbing clarity]
-
A.
associatedCharacterTrait
Indicates a relationship where a character is linked to, or described by, a particular trait or quality.
-
B.
childCharacterTrait
Indicates that a child possesses or exhibits a particular character trait.
-
C.
protagonistCharacteristic
Indicates that a characteristic, trait, or defining quality is attributed to the protagonist in a narrative or scenario.
-
D.
primaryCharacteristics
Indicates the main defining traits or features that most fundamentally characterize an entity.
-
E.
comicTrait
Indicates that an entity possesses a humorous or comedic characteristic, quality, or behavior.
- 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_69f01d85be388190b669a0e401e2f2c4 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fcef654d588190b29ecc76678d1aa0 |
completed | May 7, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69fcecdb97f48190b382b7d13be92dc0 |
completed | May 7, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69fcef636dfc819085cf91323f2e4edd |
completed | May 7, 2026, 8 p.m. |
Created at: April 28, 2026, 5:03 a.m.