Triple
T15859845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sing Sing |
E384554
|
entity |
| Predicate | prisonDesignInfluence |
P44042
|
FINISHED |
| Object | Auburn system |
—
|
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: Auburn system | Statement: [Sing Sing, prisonDesignInfluence, Auburn system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prisonDesignInfluence Context triple: [Sing Sing, prisonDesignInfluence, Auburn system]
-
A.
effectOnPrisoners
Indicates the impact or consequences that something has on prisoners.
-
B.
designInfluenceOn
chosen
Indicates that one design, designer, or design-related factor has an effect on shaping, guiding, or altering another design or design outcome.
-
C.
viewsPrisonsAs
Indicates how one entity conceptually regards or interprets the nature, role, or purpose of prisons.
-
D.
prisonType
Indicates the specific category or classification of a prison associated with an entity.
-
E.
architecturalInfluence
Indicates that one architectural style, structure, or designer has had a formative impact on the design, style, or features of another.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142b976c081908d3ba3e705419f3a |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:50 a.m.