Triple
T14784408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Go Go Tomago |
E347475
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | GoGo Tomago (Marvel Comics character) |
E347475
|
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: GoGo Tomago (Marvel Comics character) | Statement: [Go Go Tomago, basedOn, GoGo Tomago (Marvel Comics character)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GoGo Tomago (Marvel Comics character) Context triple: [Go Go Tomago, basedOn, GoGo Tomago (Marvel Comics character)]
-
A.
T.O.M.
T.O.M. is the robotic host and mascot of Cartoon Network’s Toonami programming block, known for introducing shows and guiding viewers through the lineup in a futuristic spaceship setting.
-
B.
Go Go Tomago
chosen
Go Go Tomago is a tough, speed-obsessed engineering student and superheroine from Disney's "Big Hero 6," known for her magnetic disk armor and no-nonsense attitude.
-
C.
Toomai
Toomai is a young elephant handler’s son from Rudyard Kipling’s *The Jungle Book*, known for his bravery and his special bond with elephants.
-
D.
Tomomi
Tomomi is a Japanese given name that can be used for people of any gender.
-
E.
Tommo So
Tommo So is a Dogon language spoken in Mali, known for its complex tonal system and rich oral tradition.
- 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_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. |
Created at: April 10, 2026, 1:31 a.m.