Triple
T14829569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tadashi Hamada |
E348660
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Baymax |
E347474
|
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: Baymax | Statement: [Tadashi Hamada, associatedWith, Baymax]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baymax Context triple: [Tadashi Hamada, associatedWith, Baymax]
-
A.
Baymax
chosen
Baymax is a gentle, inflatable healthcare robot who becomes an unlikely superhero and emotional anchor in Disney's animated film "Big Hero 6."
-
B.
BURN-E
BURN-E is a 2008 Pixar animated short film, spun off from the movie WALL·E, that follows a repair robot whose mission is repeatedly disrupted by the main film’s events.
-
C.
Scooba
Scooba is iRobot’s line of robotic floor-washing machines designed to automatically scrub and clean hard surfaces.
-
D.
Robby the Robot
Robby the Robot is an iconic 1950s science fiction robot character, renowned for its advanced design and influential role in shaping the portrayal of robots in popular culture.
-
E.
Rosie the Robot
Rosie the Robot is the Jetsons' wisecracking, apron-wearing robot maid who handles household chores while providing comic relief and maternal guidance to the family.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded0737d4c8190a49bf6b013da208c |
completed | April 14, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bc7aba08190b2e125b174751a53 |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 1:51 a.m.