Triple
T14081219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Take It to the Limit |
E338872
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object | Blower |
E1078244
|
NE 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: Blower | Statement: [Take It to the Limit, performer, Blower]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blower Context triple: [Take It to the Limit, performer, Blower]
-
A.
Blower
chosen
Blower is a songwriter best known for contributing to the track "Get Stoned."
-
B.
Bentley Blower
The Bentley Blower is a famous late-1920s British racing car, distinguished by its supercharged engine and prominent role in pre-war motorsport and Bentley’s racing heritage.
-
C.
Bellows
Bellows is a surname most notably associated with American realist painter George Bellows, renowned for his dynamic depictions of urban life and boxing scenes in the early 20th century.
-
D.
Heater
Heater is the furry dragon mascot of the minor league baseball team the Dayton Dragons, known for entertaining fans at their games.
-
E.
Aquafan
Aquafan is a large, popular water park in Italy’s Riviera Romagnola, known for its numerous slides, pools, and summer entertainment events.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5f759c81909bfd60ab35b0937b |
completed | April 14, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdefe88b481908b3dca1f019e7809 |
completed | May 7, 2026, 6:50 p.m. |
Created at: April 9, 2026, 10:21 p.m.