Triple
T13056160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love a Go Go |
E327578
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Love a Go Go |
E327578
|
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: Love a Go Go | Statement: [Love a Go Go, hasTitle, Love a Go Go]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love a Go Go Context triple: [Love a Go Go, hasTitle, Love a Go Go]
-
A.
Love a Go Go
chosen
"Love a Go Go" is a Motown song best known for being performed by Stevie Wonder during his classic 1960s period.
-
B.
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.
-
C.
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.
-
D.
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.
-
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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980bd305c8190bcf191b2d35ec8de |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbdead348190aa7aaa29c371d72a |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:58 p.m.