Triple
T20349955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Multitap |
E495980
|
entity |
| Predicate | usedInGame |
P25490
|
FINISHED |
| Object | Top Gear 3000 |
—
|
NE NERFINISHED |
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: Top Gear 3000 | Statement: [Super Multitap, usedInGame, Top Gear 3000]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Top Gear 3000 Context triple: [Super Multitap, usedInGame, Top Gear 3000]
-
A.
Top Gear
Top Gear is a popular British television show that reviews and tests cars with a mix of motoring journalism, humor, and elaborate challenges.
-
B.
The Stig
The Stig is the mysterious, helmeted racing driver on the British TV show Top Gear, known for anonymously setting lap times and testing cars.
-
C.
The Wheeler Dealers
The Wheeler Dealers is a 1963 romantic comedy film starring James Garner and Lee Remick that satirizes high-stakes stock market speculation and corporate culture.
-
D.
Top Gear video games
chosen
Top Gear video games are racing titles based on the popular British motoring TV show, featuring high-speed car challenges, test tracks, and appearances by iconic characters like The Stig.
-
E.
Tacho
Tacho is a character in Leslie Marmon Silko’s novel "Almanac of the Dead," involved in the book’s complex web of revolutionary and indigenous resistance narratives.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a3320881909495ae8bc30bc2dc |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6784eacf4819095504e541d1d284d |
completed | April 20, 2026, 7:02 p.m. |
Created at: April 16, 2026, 11:24 a.m.