Triple
T37573287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AlDub |
E934744
|
entity |
| Predicate | popularOnPlatform |
P30376
|
FINISHED |
| Object |
—
|
NE NERFINISHED |
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: Twitter | Statement: [AlDub, popularOnPlatform, Twitter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: popularOnPlatform Context triple: [AlDub, popularOnPlatform, Twitter]
-
A.
popularFor
Indicates that something is widely liked, recognized, or favored specifically because of a particular feature, quality, or use.
-
B.
popularFrom
Indicates that something gains or holds popularity starting from a specific time, source, or context.
-
C.
isPopularOnStreamingPlatforms
Indicates that an entity enjoys significant attention, usage, or viewership across one or more streaming platforms.
-
D.
promotedOnPlatform
Indicates that an entity was advertised, highlighted, or given increased visibility on a particular platform.
-
E.
isPopularOnSocialMedia
chosen
Indicates that an entity is widely followed, frequently engaged with, or broadly recognized across social media platforms.
- 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_69f76ecd99148190be327e391a70f5b6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fdbaa226708190b8ed96e93aad38de |
completed | May 8, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69fdb58b07e48190837e00966de050d4 |
completed | May 8, 2026, 10:06 a.m. |
Created at: May 3, 2026, 4:17 p.m.