Triple
T24439302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puntila |
E616214
|
entity |
| Predicate | behaviorPattern |
P23475
|
FINISHED |
| Object | changes attitudes when drunk |
—
|
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: changes attitudes when drunk | Statement: [Puntila, behaviorPattern, changes attitudes when drunk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: behaviorPattern Context triple: [Puntila, behaviorPattern, changes attitudes when drunk]
-
A.
behaviorObserved
chosen
Indicates that a particular behavior or action has been witnessed, recorded, or detected in relation to an entity or context.
-
B.
behaviorCode
Indicates the specific rule, standard, or classification code that governs or characterizes an entity’s behavior in a given context.
-
C.
behaviorNear
Indicates that one entity exhibits a behavior or action in close spatial proximity to another entity.
-
D.
privateBehavior
Indicates behavior or actions that are intended to be kept confidential, hidden, or restricted from public or general observation.
-
E.
targetBehaviorChange
Indicates a relationship where an intervention or influence is intended to alter, modify, or redirect an entity’s behavior from its current state to a desired new state.
- 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_69e2d7ec44b081909ccaf1f3bbec0641 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f297891f108190a98e55c900494d30 |
completed | April 29, 2026, 11:43 p.m. |
| PD | Predicate disambiguation | batch_69f287d3237c819099559c00f83131d8 |
completed | April 29, 2026, 10:36 p.m. |
Created at: April 18, 2026, 2:17 a.m.