Triple
T12349878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marv Tarplin |
E294454
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Going to a Go-Go |
E977258
|
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: Going to a Go-Go | Statement: [Marv Tarplin, notableWork, Going to a Go-Go]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Going to a Go-Go Context triple: [Marv Tarplin, notableWork, Going to a Go-Go]
-
A.
Going to a Go-Go
chosen
"Going to a Go-Go" is a 1965 Motown hit by Smokey Robinson & the Miracles, celebrated as a classic upbeat soul dance track.
-
B.
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.
-
C.
Got to Go
"Got to Go" is a song by the South Korean girl group Flo (often stylized as FLOT) known for its catchy K-pop sound and polished production.
-
D.
Go Goo Go
"Go Goo Go" is a fast-paced episode of the animated series Foster's Home for Imaginary Friends that introduces Goo, an overly imaginative girl who creates countless imaginary friends, causing chaos at the foster home.
-
E.
I Gotta Go
"I Gotta Go" is a blues track performed by The Rolling Stones, featured on their 2016 covers album *Blue & Lonesome*.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f7cbff08190849cd2aec4ce3243 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63ef437d08190b09132fa090504a5 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:53 p.m.