Triple
T14784400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Go Go Tomago |
E347475
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Go Go
Go Go is a tough, speed-obsessed engineering student and superheroine from Disney's Big Hero 6.
|
E1118375
|
NE FINISHED |
How this triple was built (4 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 Go | Statement: [Go Go Tomago, givenName, Go Go]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Go Go Context triple: [Go Go Tomago, givenName, Go Go]
-
A.
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.
-
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.
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.
-
D.
Gotta Go
"Gotta Go" is a popular track by Nicki Minaj from her early mixtape era, showcasing her punchy flow and playful, boastful lyricism.
-
E.
Go Cong
Go Cong is a coastal town in southern Vietnam known historically as an administrative and trading center in the Mekong Delta region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Go Go Triple: [Go Go Tomago, givenName, Go Go]
Generated description
Go Go is a tough, speed-obsessed engineering student and superheroine from Disney's Big Hero 6.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Go Go Target entity description: Go Go is a tough, speed-obsessed engineering student and superheroine from Disney's Big Hero 6.
-
A.
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.
-
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.
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.
-
D.
Gotta Go
"Gotta Go" is a popular track by Nicki Minaj from her early mixtape era, showcasing her punchy flow and playful, boastful lyricism.
-
E.
Go Cong
Go Cong is a coastal town in southern Vietnam known historically as an administrative and trading center in the Mekong Delta region.
- F. None of above. chosen
Provenance (5 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deca9f1c9c8190a8b28ba0ddd3e2e3 |
completed | April 14, 2026, 11:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0d051d9481909e6a5aab6e18b127 |
completed | May 8, 2026, 4:19 p.m. |
| NEDg | Description generation | batch_69fe1333f5fc81908c910ff7031a4e5f |
completed | May 8, 2026, 4:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe139023908190a0423a9f87ed80f7 |
completed | May 8, 2026, 4:47 p.m. |
Created at: April 10, 2026, 1:31 a.m.