Triple
T20863367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation Mad Ball |
E513681
|
entity |
| Predicate | originalDistributorRegion |
P94205
|
FINISHED |
| Object | United States theatrical market |
—
|
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: United States theatrical market | Statement: [Operation Mad Ball, originalDistributorRegion, United States theatrical market]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalDistributorRegion Context triple: [Operation Mad Ball, originalDistributorRegion, United States theatrical market]
-
A.
distributorCountry
Indicates the country in which the distributor of an item, product, or work is located or operates.
-
B.
originalTitleRegion
Indicates that a work’s original title is associated with or used in a specific geographic or linguistic region.
-
C.
distributorInUnitedStates
chosen
Indicates that an entity serves as a distributor operating within the United States.
-
D.
originalPlatformRegion
Indicates the geographic region or market in which a platform was originally launched or made available.
-
E.
distributorOfAdaptation
Indicates that one entity is responsible for distributing a particular adaptation of a work (such as a film, series, or other derivative version).
- F. None of above.
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_69e0b4f5b01081909452f654d2fc3f50 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c45d2ec4819098abbb901b9fcd87 |
completed | April 21, 2026, 12:27 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a593f481908beb457c29f1ce73 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:44 p.m.