Triple
T30677304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 24 Hours of Happy |
E780948
|
entity |
| Predicate | hasShortEdit |
P179051
|
FINISHED |
| Object | 4-minute official Happy music video |
—
|
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: 4-minute official Happy music video | Statement: [24 Hours of Happy, hasShortEdit, 4-minute official Happy music video]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasShortEdit Context triple: [24 Hours of Happy, hasShortEdit, 4-minute official Happy music video]
-
A.
hasShort
Indicates that an entity possesses or is characterized by something of short length or duration.
-
B.
isShort
Indicates that one entity has a relatively small height, length, or duration compared to a standard or to other entities.
-
C.
hasShortTitle
Indicates that an entity is associated with a brief or abbreviated title.
-
D.
hasShortDefinition
Indicates that an entity is associated with a brief, concise definition.
-
E.
wasShortened
Indicates that something has been made shorter in length, duration, or extent compared to its original form.
- 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_69f224a7fc208190a07d6d3879b31640 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f719cc31ec819099bebcf833b14d76 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71820c6c88190ab38b4fa626d22cc |
completed | May 3, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69f71995853c8190912025c0e83640c8 |
completed | May 3, 2026, 9:47 a.m. |
Created at: April 29, 2026, 8:32 p.m.