Triple
T17908205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goo |
E447754
|
entity |
| Predicate | firstAppearanceInSeries |
P4114
|
FINISHED |
| Object | Go Goo Go |
—
|
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: Go Goo Go | Statement: [Goo, firstAppearanceInSeries, Go Goo Go]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Go Goo Go Context triple: [Goo, firstAppearanceInSeries, Go Goo Go]
-
A.
Go Goo Go
chosen
"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.
-
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.
Go Go
Go Go is a tough, speed-obsessed engineering student and superheroine from Disney's Big Hero 6.
-
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.
Good to Go-Go
Good to Go-Go is a smooth jazz album by saxophonist Jay Beckenstein’s band Spyro Gyra, known for its polished, contemporary fusion sound.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e9e4c9881908bfc3a83809d6b85 |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 10, 2026, 10:19 a.m.