Triple
T26016251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | #NoShaveNovember |
E647030
|
entity |
| Predicate | awarenessMethod |
P159671
|
FINISHED |
| Object | viral hashtag |
—
|
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: viral hashtag | Statement: [#NoShaveNovember, awarenessMethod, viral hashtag]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awarenessMethod Context triple: [#NoShaveNovember, awarenessMethod, viral hashtag]
-
A.
awareness
Indicates that an entity has conscious knowledge, perception, or understanding of another entity, situation, or fact.
-
B.
alertMethod
Indicates the method or channel through which an alert or notification is delivered from a source to a recipient.
-
C.
agingMethod
Indicates the process or technique by which something (typically a product or material) is matured, aged, or allowed to develop its characteristics over time.
-
D.
aimsToRaiseAwarenessOf
Indicates that an entity undertakes actions or efforts with the purpose of increasing others’ knowledge, concern, or recognition of a particular issue, topic, or situation.
-
E.
realizationMethod
Indicates the means, process, or technique by which something is carried out, implemented, or brought into effect.
- 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_69e77e8aa65881909ca58918f29ab2a0 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f605b99f9c819088e3a15a2f69dc15 |
completed | May 2, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69f4a10728e08190bc0b96c558740f51 |
completed | May 1, 2026, 12:48 p.m. |
| PDg | Predicate description generation | batch_69f55e497fa081909bc59a7b92c5df59 |
completed | May 2, 2026, 2:15 a.m. |
Created at: April 22, 2026, 9:03 a.m.