Triple
T21764152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Albert experiment |
E537234
|
entity |
| Predicate | stimulusType |
P145858
|
FINISHED |
| Object | white rat |
—
|
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: white rat | Statement: [Little Albert experiment, stimulusType, white rat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stimulusType Context triple: [Little Albert experiment, stimulusType, white rat]
-
A.
typeOfIncentive
Indicates the specific kind or category of incentive associated with an entity or action.
-
B.
signalType
Indicates the specific kind or category of signal associated with or used by an entity or interaction.
-
C.
indicatorType
Indicates the specific kind or category of indicator associated with an entity or relationship.
-
D.
inductionType
Indicates the specific method or process by which something is brought into a state, condition, or role (e.g., how an entity is initiated, introduced, or caused to occur).
-
E.
interventionType
Indicates the specific kind or category of action, treatment, or measure applied in an intervention.
- F. None of above. chosen
Provenance (4 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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031a8a7f08190a4e50ebc24219585 |
completed | April 28, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69e6be6299988190a34c98fa76d94700 |
completed | April 21, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69e6d054737081908aa7112975b77475 |
completed | April 21, 2026, 1:18 a.m. |
Created at: April 16, 2026, 6:51 p.m.