Triple
T5694411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bradley Cooper as Pat Solitano |
E125500
|
entity |
| Predicate | copingMechanismInStory |
P54487
|
FINISHED |
| Object | running |
—
|
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: running | Statement: [Bradley Cooper as Pat Solitano, copingMechanismInStory, running]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: copingMechanismInStory Context triple: [Bradley Cooper as Pat Solitano, copingMechanismInStory, running]
-
A.
copingMechanism
chosen
Indicates a way in which an entity responds to, manages, or adapts to stress, difficulty, or emotional challenges.
-
B.
helpsCharacterConfront
Indicates that one character actively supports or enables another character in facing and dealing with a difficult issue, fear, or challenge.
-
C.
seeksToOvercome
Indicates an intentional effort by one entity to defeat, surpass, or remove an obstacle, limitation, or opposing force associated with another entity or condition.
-
D.
narrativeConsequence
Indicates that one event, action, or state occurs as a direct result or outcome of another within a narrative sequence.
-
E.
characterArcElement
Indicates that one element is a component or stage within a character’s overall developmental arc or transformation.
- 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_69c0082bb19c8190823a4facd3cba79b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c0e0408190ab6c3cd3f907e80f |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:45 p.m.