Triple
T14853784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Place Beyond the Pines |
E349297
|
entity |
| Predicate | exploresIntergenerationalImpactOfCrime |
P108983
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The Place Beyond the Pines, exploresIntergenerationalImpactOfCrime, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exploresIntergenerationalImpactOfCrime Context triple: [The Place Beyond the Pines, exploresIntergenerationalImpactOfCrime, true]
-
A.
impactOnFamily
chosen
Indicates the effect or influence that something has on a family’s situation, dynamics, or well-being.
-
B.
committedCrime
Indicates that an entity has carried out or been responsible for a criminal act or offense.
-
C.
punishedGenerationOf
Indicates that one entity imposed a punitive consequence on another entity or group, typically as a result of the latter’s actions or behavior.
-
D.
includesCrimesAgainstSociety
Indicates that the referenced entity involves, encompasses, or is associated with offenses classified as crimes against society (such as public order, moral, or regulatory violations).
-
E.
impactOnLawEnforcement
Indicates the effect or consequences that something has on law enforcement activities, operations, or effectiveness.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded44318f0819080b6c599f2d3474f |
completed | April 14, 2026, 11:56 p.m. |
| PD | Predicate disambiguation | batch_69de8c1798c08190b433e9ad21e41a42 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:54 a.m.