Triple
T12531556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maureen |
E299575
|
entity |
| Predicate | emotionalFunctionInWork |
P65521
|
FINISHED |
| Object | anchors much of the film’s emotional impact |
—
|
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: anchors much of the film’s emotional impact | Statement: [Maureen, emotionalFunctionInWork, anchors much of the film’s emotional impact]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emotionalFunctionInWork Context triple: [Maureen, emotionalFunctionInWork, anchors much of the film’s emotional impact]
-
A.
moodContrastWithinWork
Indicates a contrast or shift between different moods or emotional tones within the same work.
-
B.
emotionalDynamic
Indicates how emotions, moods, or affective states change, interact, or influence each other between entities over time.
-
C.
emotionalCoreOf
Indicates that one entity serves as the central source, essence, or primary driver of another entity’s emotional character or experience.
-
D.
emotionalRole
chosen
Indicates a relationship where one entity holds a particular emotional significance, function, or impact in relation to another entity.
-
E.
emotionalTrait
Indicates that an entity possesses a particular emotional characteristic, disposition, or affective quality.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d9540d7b788190a0d57b098e90e491 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.