Triple
T7800712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nickelodeon Streak |
E180422
|
entity |
| Predicate | designer |
P184
|
FINISHED |
| Object | Charles Paige |
E694197
|
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: Charles Paige | Statement: [Nickelodeon Streak, designer, Charles Paige]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charles Paige Context triple: [Nickelodeon Streak, designer, Charles Paige]
-
A.
Charles Paige
Charles Paige was a ride designer known for creating the Big Dipper roller coaster at Blackpool Pleasure Beach in England.
-
B.
Charles Paige
chosen
Charles Paige was an early 20th-century automotive engineer and entrepreneur known for building the Nickelodeon Streak cyclecar.
-
C.
George Pentecost
George Pentecost is an actor best known for his role in the 1970s American sitcom "Blansky's Beauties."
-
D.
George Davenport
George Davenport was a 19th-century American fur trader and early settler whose influence on the region led to the city of Davenport, Iowa being named in his honor.
-
E.
Charles Ashford Pace
Charles Ashford Pace was an American educator and entrepreneur best known for establishing Pace University as a business school that grew into a major higher education institution.
- 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_69ca827e50cc8190a92a733577184938 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cae98765c48190b325eee67bd663fc |
completed | March 30, 2026, 9:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5a24692c8190ade15140fd2b9499 |
completed | March 31, 2026, 5:22 a.m. |
Created at: March 30, 2026, 4:33 p.m.