Triple
T10907444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Harmon |
E257607
|
entity |
| Predicate | coCreatorOf |
P806
|
FINISHED |
| Object |
Channel 101
Channel 101 is an independent monthly short-film festival and web series platform co-created by Dan Harmon, where creators submit five-minute pilots that audiences vote on to determine which continue as ongoing series.
|
E892547
|
NE FINISHED |
How this triple was built (4 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: Channel 101 | Statement: [Dan Harmon, coCreatorOf, Channel 101]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Channel 101 Context triple: [Dan Harmon, coCreatorOf, Channel 101]
-
A.
Channel
Channel is a common alternative name for the English Channel, the narrow arm of the Atlantic Ocean that separates southern England from northern France.
-
B.
CHANNEX
CHANNEX is the radio callsign used by the British low-cost airline Jet2.com during air traffic communications.
-
C.
CHANNEX
CHANNEX is the radio callsign used by Channel Express, a former British cargo and passenger airline.
-
D.
Channel X
Channel X is a British television production company best known for producing the acclaimed comedy series "Detectorists."
-
E.
TEN: The Enthusiast Network
TEN: The Enthusiast Network is a media company specializing in automotive and enthusiast content across magazines, digital platforms, and events.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Channel 101 Triple: [Dan Harmon, coCreatorOf, Channel 101]
Generated description
Channel 101 is an independent monthly short-film festival and web series platform co-created by Dan Harmon, where creators submit five-minute pilots that audiences vote on to determine which continue as ongoing series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Channel 101 Target entity description: Channel 101 is an independent monthly short-film festival and web series platform co-created by Dan Harmon, where creators submit five-minute pilots that audiences vote on to determine which continue as ongoing series.
-
A.
Channel
Channel is a common alternative name for the English Channel, the narrow arm of the Atlantic Ocean that separates southern England from northern France.
-
B.
CHANNEX
CHANNEX is the radio callsign used by Channel Express, a former British cargo and passenger airline.
-
C.
CHANNEX
CHANNEX is the radio callsign used by the British low-cost airline Jet2.com during air traffic communications.
-
D.
Channel X
Channel X is a British television production company best known for producing the acclaimed comedy series "Detectorists."
-
E.
TEN: The Enthusiast Network
TEN: The Enthusiast Network is a media company specializing in automotive and enthusiast content across magazines, digital platforms, and events.
- F. None of above. chosen
Provenance (5 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7706756d081908ed29c68d81df688 |
completed | April 9, 2026, 9:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e155454890819087028a72ac2be8de |
completed | April 16, 2026, 9:31 p.m. |
| NEDg | Description generation | batch_69e1801dc2e8819099bc862705871761 |
completed | April 17, 2026, 12:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e1831802608190b5c3c5a4e8d8681a |
completed | April 17, 2026, 12:47 a.m. |
Created at: April 8, 2026, 9:22 p.m.