Triple
T17692953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazon Freevee |
E441080
|
entity |
| Predicate | predecessor |
P97
|
FINISHED |
| Object | IMDb TV |
—
|
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: IMDb TV | Statement: [Amazon Freevee, predecessor, IMDb TV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IMDb TV Context triple: [Amazon Freevee, predecessor, IMDb TV]
-
A.
Vintry
Vintry is one of the historic wards of the City of London, traditionally associated with the wine trade along the River Thames.
-
B.
YTS
YTS is the IATA airport code for Timmins Victor M. Power Airport, a regional airport serving the city of Timmins in Ontario, Canada.
-
C.
OMDB
OMDB is the ICAO airport code for Dubai International Airport, one of the world's busiest and most important international aviation hubs.
-
D.
Tubi
chosen
Tubi is a free, ad-supported streaming service offering a large library of movies and TV shows on demand.
-
E.
Movies on Demand
Movies on Demand is a film or video project associated with the band Consequence, likely serving as a notable visual or multimedia extension of their music.
- 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47153a5c8819095c36fd414167fb1 |
completed | April 19, 2026, 6:08 a.m. |
Created at: April 10, 2026, 10:03 a.m.