Triple
T11320093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don McKellar |
E268069
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Twitch City |
E574654
|
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: Twitch City | Statement: [Don McKellar, notableWork, Twitch City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Twitch City Context triple: [Don McKellar, notableWork, Twitch City]
-
A.
Twitch City
chosen
Twitch City is a Canadian cult-favorite dark comedy television series set in Toronto, known for its offbeat humor and eccentric characters.
-
B.
Tank Stream
Tank Stream is a historic watercourse in central Sydney that once served as the colony’s primary freshwater supply and now runs mostly underground beneath the modern city.
-
C.
Twitch
Twitch is a leading live-streaming platform, best known for video game broadcasting, esports coverage, and interactive content communities.
-
D.
TwitchCon convention
TwitchCon convention is an annual fan and creator event celebrating the Twitch streaming community with live shows, gaming, meet-and-greets, and industry panels.
-
E.
Streamers
"Streamers" is a stage play by David Rabe that powerfully portrays the tensions, racism, and psychological strain among American soldiers in an Army barracks during the Vietnam War era.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9de875481908acfa56015d4b46f |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e525e2549081909ec99e4c7006fd66 |
completed | April 19, 2026, 6:58 p.m. |
Created at: April 8, 2026, 9:32 p.m.