Triple
T12574411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IPC Magazines |
E300168
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
TV Times
TV Times is a long-running British television listings magazine known for its program schedules, features, and interviews related to UK TV.
|
E989779
|
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: TV Times | Statement: [IPC Magazines, notableWork, TV Times]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TV Times Context triple: [IPC Magazines, notableWork, TV Times]
-
A.
TV Guide
TV Guide is a long-running American weekly magazine and digital platform that provides television program listings, entertainment news, and industry features.
-
B.
TV listings magazine Hörzu
TV listings magazine Hörzu is a long-running and influential German television guide known for organizing the prestigious Goldene Kamera entertainment awards.
-
C.
BBC News at Ten
BBC News at Ten is the BBC’s flagship late-evening television news bulletin, providing national and international news coverage on weekdays.
-
D.
TV Action
TV Action was a British weekly comic magazine known for publishing adventure and science fiction strips based on popular television series.
-
E.
TVI
TVI is a major Portuguese television network known for its popular entertainment, news, and drama programming.
- 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: TV Times Triple: [IPC Magazines, notableWork, TV Times]
Generated description
TV Times is a long-running British television listings magazine known for its program schedules, features, and interviews related to UK TV.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TV Times Target entity description: TV Times is a long-running British television listings magazine known for its program schedules, features, and interviews related to UK TV.
-
A.
TV Guide
TV Guide is a long-running American weekly magazine and digital platform that provides television program listings, entertainment news, and industry features.
-
B.
TV listings magazine Hörzu
TV listings magazine Hörzu is a long-running and influential German television guide known for organizing the prestigious Goldene Kamera entertainment awards.
-
C.
BBC News at Ten
BBC News at Ten is the BBC’s flagship late-evening television news bulletin, providing national and international news coverage on weekdays.
-
D.
TV Action
TV Action was a British weekly comic magazine known for publishing adventure and science fiction strips based on popular television series.
-
E.
TVI
TVI is a major Portuguese television network known for its popular entertainment, news, and drama programming.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954a629fc8190a1c3b6777aad4527 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65597dc70819089ddc1794e9bd1b7 |
completed | May 2, 2026, 7:50 p.m. |
| NEDg | Description generation | batch_69f656f812bc8190a2a691285fc30e03 |
completed | May 2, 2026, 7:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f657f1ced08190a588642c7fa5efdd |
completed | May 2, 2026, 8 p.m. |
Created at: April 9, 2026, 4:44 p.m.