Triple
T5398061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Detectorists |
E120705
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Channel X
Channel X is a British television production company best known for producing the acclaimed comedy series "Detectorists."
|
E516723
|
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 X | Statement: [Detectorists, productionCompany, Channel X]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Channel X Context triple: [Detectorists, productionCompany, Channel X]
-
A.
Channel 5
Channel 5 is a British free-to-air television network known for a mix of entertainment, documentaries, and imported programming.
-
B.
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.
-
C.
Sky Channel
Sky Channel was the original name of Sky One, a British satellite television channel known for airing a mix of entertainment, drama, and imported US programming.
-
D.
CHANNEX
CHANNEX is the radio callsign used by Channel Express, a former British cargo and passenger airline.
-
E.
CHANNEX
CHANNEX is the radio callsign used by the British low-cost airline Jet2.com during air traffic communications.
- 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 X Triple: [Detectorists, productionCompany, Channel X]
Generated description
Channel X is a British television production company best known for producing the acclaimed comedy series "Detectorists."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Channel X Target entity description: Channel X is a British television production company best known for producing the acclaimed comedy series "Detectorists."
-
A.
Channel 5
Channel 5 is a British free-to-air television network known for a mix of entertainment, documentaries, and imported programming.
-
B.
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.
-
C.
Sky Channel
Sky Channel was the original name of Sky One, a British satellite television channel known for airing a mix of entertainment, drama, and imported US programming.
-
D.
CHANNEX
CHANNEX is the radio callsign used by Channel Express, a former British cargo and passenger airline.
-
E.
CHANNEX
CHANNEX is the radio callsign used by the British low-cost airline Jet2.com during air traffic communications.
- 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_69bd4637b92c8190b815b6443ae4b323 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87485d5c819096ae574b1badc9d5 |
completed | March 20, 2026, 5:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3379aae881909217c29aee856e5d |
completed | March 22, 2026, 12:10 a.m. |
| NEDg | Description generation | batch_69bf33f58bc48190a3ac42d637f4a052 |
completed | March 22, 2026, 12:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf34882fdc8190acab540c5ff07bd8 |
completed | March 22, 2026, 12:15 a.m. |
Created at: March 20, 2026, 2:04 p.m.