Triple
T22451202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shoresy |
E554993
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | New Metric Media |
—
|
NE NERFINISHED |
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: New Metric Media | Statement: [Shoresy, productionCompany, New Metric Media]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: New Metric Media Context triple: [Shoresy, productionCompany, New Metric Media]
-
A.
New Metric Media
chosen
New Metric Media is a Canadian television production company best known for creating and producing the hit comedy series "Letterkenny."
-
B.
Objective Media Group
Objective Media Group is a British television production company known for creating a wide range of popular scripted and unscripted programming for major broadcasters.
-
C.
Mediatonic
Mediatonic is a British video game developer best known for creating the popular battle royale party game "Fall Guys: Ultimate Knockout."
-
D.
TruMedia Networks
TruMedia Networks is a sports analytics and technology company that provides data-driven tools and software solutions to professional teams, leagues, and media organizations.
-
E.
Mindshare
Mindshare is a global media and marketing services agency known for planning and buying advertising across multiple channels for major brands.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4ba6a88190a0a79e2c20fa8c08 |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 16, 2026, 8:48 p.m.