Triple
T31825881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OddBot Inc. |
E812392
|
entity |
| Predicate | roleInMuppetBabies2018 |
P201279
|
FINISHED |
| Object | animation studio |
—
|
LITERAL 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: animation studio | Statement: [OddBot Inc., roleInMuppetBabies2018, animation studio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInMuppetBabies2018 Context triple: [OddBot Inc., roleInMuppetBabies2018, animation studio]
-
A.
roleInDespicableMe2
Indicates that an entity has a specific role or participation in the movie "Despicable Me 2."
-
B.
roleInAGoofyMovie
Indicates that an entity has a role or part in the production "A Goofy Movie."
-
C.
roleInGoofTroop
Indicates the specific role or function an entity has within the context of the Goof Troop series or franchise.
-
D.
roleInMonstersInc
Indicates the specific function, position, or part an entity has within the context of the movie “Monsters, Inc.”
-
E.
roleInScoobyDoo2MonstersUnleashed
Indicates that an entity has a specific role or appearance in the film "Scooby-Doo 2: Monsters Unleashed."
- F. None of above. chosen
Provenance (4 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_69f348e97fa48190aa06286962af6dee |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ffe613c03481909f3043ec8bf0bed9 |
completed | May 10, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_69ffe4a73fb4819091600725a443981a |
completed | May 10, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69ffe6130698819099328fce92bb2784 |
completed | May 10, 2026, 1:57 a.m. |
Created at: April 30, 2026, 11:46 p.m.