Triple
T15992287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spritle Racer |
E387862
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Mach GoGoGo |
E1187305
|
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: Mach GoGoGo | Statement: [Spritle Racer, appearsIn, Mach GoGoGo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mach GoGoGo Context triple: [Spritle Racer, appearsIn, Mach GoGoGo]
-
A.
Mach GoGoGo
chosen
Mach GoGoGo is a classic 1960s Japanese anime and manga series about a young race car driver and his high-tech car, internationally known as Speed Racer.
-
B.
Go Go
Go Go is a tough, speed-obsessed engineering student and superheroine from Disney's Big Hero 6.
-
C.
Love a Go Go
"Love a Go Go" is a Motown song best known for being performed by Stevie Wonder during his classic 1960s period.
-
D.
Going to a Go-Go
"Going to a Go-Go" is a 1965 Motown hit by Smokey Robinson & the Miracles, celebrated as a classic upbeat soul dance track.
-
E.
Touch and Go
Touch and Go is a track from the album "Barking at Airplanes" by American singer-songwriter Kim Carnes.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157844ed881908b42bfc1bb740d4e |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf1cb1388190b1ebccc6705e5974 |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:54 a.m.