Triple
T16756842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cyclone Taylor |
E407228
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Cyclone |
E407228
|
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: Cyclone | Statement: [Cyclone Taylor, nickname, Cyclone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cyclone Context triple: [Cyclone Taylor, nickname, Cyclone]
-
A.
Cyclone
chosen
Cyclone is the nickname of early 20th-century Canadian ice hockey legend Cyclone Taylor, renowned as one of the sport’s first great rushing defensemen.
-
B.
Cyclone
Cyclone is a DC Comics superheroine and member of the Justice Society of America known for her wind-manipulating powers and energetic, optimistic personality.
-
C.
Cyclone
Cyclone is a comic book series created by writer-artist Michael Hicks.
-
D.
Cyclone
Cyclone is a steel roller coaster at Dreamworld on the Gold Coast in Australia, known for its looping layout and history of relocation and rebranding.
-
E.
Cyclone
Cyclone is a family of low-cost, low-power FPGA devices developed by Altera (now part of Intel) for a wide range of embedded and programmable logic applications.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3abe94cc0819099b05cd205d368c5 |
completed | April 18, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a52886e48190b7a1e6fccd9a5709 |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:21 a.m.