Triple
T17460800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lemonade |
E425145
|
entity |
| Predicate | gainedWidespreadAttention |
P95265
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Lemonade, gainedWidespreadAttention, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gainedWidespreadAttention Context triple: [Lemonade, gainedWidespreadAttention, true]
-
A.
hasInternationalAttentionFor
Indicates that an entity is receiving recognition, focus, or concern from audiences, organizations, or media beyond its own country, specifically in relation to a particular topic, event, or attribute.
-
B.
gainedRecognition
chosen
Indicates that an entity received acknowledgment, acclaim, or validation from others for its qualities, actions, or achievements.
-
C.
gainedProminenceFor
Indicates that an entity became widely recognized or notable specifically because of another entity, action, or achievement.
-
D.
helpedPropelToMainstreamFame
Indicates that one entity significantly contributed to another entity’s rise to widespread public recognition or mainstream popularity.
-
E.
mediaAttentionLevel
Indicates the degree or intensity of attention or coverage that media outlets give to a particular subject or entity.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451a3031c8190ab1dd0d41b002dd2 |
completed | April 19, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f0e3fc819094e466b74622c956 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:47 a.m.