Triple
T36085169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | These Heaux |
E1043754
|
entity |
| Predicate | followsInTrendOf |
P134
|
FINISHED |
| Object | internet personalities becoming musicians |
—
|
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: internet personalities becoming musicians | Statement: [These Heaux, followsInTrendOf, internet personalities becoming musicians]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsInTrendOf Context triple: [These Heaux, followsInTrendOf, internet personalities becoming musicians]
-
A.
hasTrend
Indicates that something exhibits or is associated with a particular pattern of change or direction over time.
-
B.
isWidelyFollowedBy
Indicates that one entity is followed, subscribed to, or tracked by a large number of other entities.
-
C.
follows
chosen
Indicates that one entity comes after, moves behind, or acts in accordance with another entity in time, space, or sequence.
-
D.
trendy
Indicates that something is currently fashionable, popular, or in line with prevailing styles or tastes.
-
E.
trends
Indicates that one entity exhibits a general direction of change or development over time in relation to another reference or context.
- 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_69f76e3154908190a6f702671c2bea08 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff2636e2bc8190bba91eff91431c6e |
completed | May 9, 2026, 12:19 p.m. |
| PD | Predicate disambiguation | batch_69ff25c65be48190868480d94e1c4e89 |
completed | May 9, 2026, 12:17 p.m. |
Created at: May 3, 2026, 4:08 p.m.