Triple
T10470031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | eOne Films |
E246899
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | eOne Television |
E246896
|
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: eOne Television | Statement: [eOne Films, associatedWith, eOne Television]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: eOne Television Context triple: [eOne Films, associatedWith, eOne Television]
-
A.
North One Television
North One Television is a British television production company known for creating popular factual, entertainment, and sports programming for major UK broadcasters.
-
B.
eOne
chosen
eOne is a global entertainment company known for producing and distributing film, television, and music content.
-
C.
eOne Films
eOne Films is the film distribution and production arm of Entertainment One, handling the acquisition, marketing, and release of movies in various international markets.
-
D.
Omni Television
Omni Television is a Canadian multilingual television network known for broadcasting programming in a wide range of languages to serve diverse ethnic communities.
-
E.
Grundy Television
Grundy Television is a television production company known for creating and producing various scripted series and entertainment programs.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5092fa6048190b26d481ddc3e3ec2 |
completed | April 7, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc68b49481909715c36a4c0e7c4f |
completed | April 10, 2026, 11:18 a.m. |
Created at: April 6, 2026, 12:20 p.m.