Triple
T11806921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transformers: Prime |
E280769
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Polygon Pictures |
E424756
|
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: Polygon Pictures | Statement: [Transformers: Prime, productionCompany, Polygon Pictures]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Polygon Pictures Context triple: [Transformers: Prime, productionCompany, Polygon Pictures]
-
A.
Polygon Pictures
chosen
Polygon Pictures is a Japanese animation studio known for its 3D CGI work on numerous anime series and international co-productions.
-
B.
Phoenix Pictures
Phoenix Pictures is an American film production company known for producing critically acclaimed movies such as "Black Swan" and "The Thin Red Line."
-
C.
Pixels
Pixels is a 2015 science fiction comedy film in which classic video game characters attack Earth, prompting former arcade champions to defend the planet.
-
D.
Arcade Pictures
Arcade Pictures is a film production company known for working on action-oriented genre movies such as "The Man with the Iron Fists."
-
E.
Tupian
Tupian is a major indigenous language family of South America, encompassing numerous related languages spoken primarily in Brazil and neighboring regions.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5c8324481909a54852a9bb714e0 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f131726ab08190ae777bee3ac6df43 |
completed | April 28, 2026, 10:15 p.m. |
Created at: April 8, 2026, 9:42 p.m.