Triple
T14218236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ice Bucket Challenge |
E352416
|
entity |
| Predicate | activityDescription |
P81
|
FINISHED |
| Object | participants dump a bucket of ice water over their heads |
—
|
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: participants dump a bucket of ice water over their heads | Statement: [Ice Bucket Challenge, activityDescription, participants dump a bucket of ice water over their heads]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: activityDescription Context triple: [Ice Bucket Challenge, activityDescription, participants dump a bucket of ice water over their heads]
-
A.
activityType
Indicates the specific kind or category of action or event that an entity is engaged in or associated with.
-
B.
typicalActivity
Indicates that an entity is commonly or characteristically engaged in a particular activity.
-
C.
activity
chosen
Indicates that an entity is engaged in or performing a particular action, behavior, or process.
-
D.
activityTime
Indicates the time period during which an activity occurs or is scheduled to take place.
-
E.
otherActivity
Indicates that an entity is engaged in an activity that is different from a primary, specified, or expected activity.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de621258d4819085f358cd2cf109e4 |
completed | April 14, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69de05bcd7d48190a4848d9320404aa6 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:06 a.m.