Triple
T20742268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne Trulove |
E510470
|
entity |
| Predicate | dramaticTraitsRequired |
P139283
|
FINISHED |
| Object | emotional sincerity |
—
|
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: emotional sincerity | Statement: [Anne Trulove, dramaticTraitsRequired, emotional sincerity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dramaticTraitsRequired Context triple: [Anne Trulove, dramaticTraitsRequired, emotional sincerity]
-
A.
dramaticTrait
Indicates that an entity possesses a tendency to behave or express itself in an exaggerated, theatrical, or emotionally intense manner.
-
B.
dramaticCharacter
Indicates that one entity is a character or role that appears within the dramatic work, performance, or narrative represented by the other entity.
-
C.
dramaticFeature
chosen
Indicates that one entity possesses or exhibits a notable dramatic characteristic or element in relation to another entity.
-
D.
dramaticRole
Indicates that one entity serves as a character or part played by another entity within a dramatic or theatrical work.
-
E.
dramaticFunction
Indicates the role or purpose that something serves within the structure or progression of a dramatic work or narrative.
- 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_69e0b4c845e88190b4c5f3ae79291182 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c20f9670819082199de21a8d9818 |
completed | April 21, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69e5c0509608819080cdbf47fcddfe36 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:33 p.m.