Triple
T29568758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Just Say No anti-drug campaign |
E753240
|
entity |
| Predicate | targetBehavior |
P860
|
FINISHED |
| Object | refusal to experiment with illegal drugs |
—
|
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: refusal to experiment with illegal drugs | Statement: [Just Say No anti-drug campaign, targetBehavior, refusal to experiment with illegal drugs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetBehavior Context triple: [Just Say No anti-drug campaign, targetBehavior, refusal to experiment with illegal drugs]
-
A.
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.
-
B.
target
chosen
Indicates that one entity is the intended object, goal, or focus of another entity’s action or attention.
-
C.
trailBehavior
Indicates how an entity behaves, moves, or leaves traces along a path or trajectory over time.
-
D.
compassBehavior
Indicates how a compass responds or is configured to respond under certain conditions or interactions.
-
E.
targetUserAction
Indicates that a specific user is the intended recipient or focus of a particular action performed within the system.
- 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_69f0ef7fcb4881908a933110adb9bda1 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69fcf36d2894819089b7db8e91b63c9d |
completed | May 7, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69fcf25c0a108190bfa823474098640b |
completed | May 7, 2026, 8:13 p.m. |
Created at: April 28, 2026, 5:55 p.m.