Triple
T11105516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blakely |
E262616
|
entity |
| Predicate | hasPopularityCharacteristic |
P97301
|
FINISHED |
| Object | increasing use as a first name in the 21st century |
—
|
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: increasing use as a first name in the 21st century | Statement: [Blakely, hasPopularityCharacteristic, increasing use as a first name in the 21st century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPopularityCharacteristic Context triple: [Blakely, hasPopularityCharacteristic, increasing use as a first name in the 21st century]
-
A.
hasPopularityScope
Indicates that the popularity of an entity is evaluated or applicable within a specified scope, context, or audience.
-
B.
isPopularWith
Indicates that one entity is well-liked, favored, or widely accepted by another entity or group.
-
C.
hasPopularityInfluencedBy
Indicates that the popularity level of one entity is affected or shaped by another specified factor or entity.
-
D.
hasPopularityReason
Indicates that there is a specific reason or factor explaining why something is popular.
-
E.
hasEnduringPopularityOn
Indicates that something continues to be widely liked, used, or appreciated on a particular platform, medium, or context over an extended period of time.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a64319481909926cebfdd47184d |
completed | April 9, 2026, 12:24 p.m. |
| PD | Predicate disambiguation | batch_69d7441aa3548190b92dbde57841c135 |
completed | April 9, 2026, 6:15 a.m. |
| PDg | Predicate description generation | batch_69d750ca52ec8190a559432a5de106fd |
completed | April 9, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:27 p.m.