Triple
T1521672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ITV |
E32241
|
entity |
| Predicate | hasProgramme |
P6928
|
FINISHED |
| Object |
This Morning
This Morning is a long-running British daytime television magazine show featuring a mix of news, interviews, lifestyle segments, and entertainment.
|
E175555
|
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: This Morning | Statement: [ITV, hasProgramme, This Morning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: This Morning Context triple: [ITV, hasProgramme, This Morning]
-
A.
Good Morning Britain
Good Morning Britain is a British weekday breakfast television news and talk show featuring headlines, interviews, and topical discussions.
-
B.
Good Morning America
Good Morning America is a long-running American morning television show on ABC that features news, interviews, and lifestyle segments.
-
C.
Woman's Hour
Woman's Hour is a long-running BBC Radio 4 magazine programme that focuses on issues, stories, and culture from women's perspectives.
-
D.
BBC Breakfast
BBC Breakfast is a long-running British morning television news and magazine programme featuring news, interviews, weather, and lifestyle segments.
-
E.
The Now Show
The Now Show is a long-running BBC Radio 4 comedy series that satirically reviews the week's news through sketches, stand-up, and musical segments.
- 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: This Morning Triple: [ITV, hasProgramme, This Morning]
Generated description
This Morning is a long-running British daytime television magazine show featuring a mix of news, interviews, lifestyle segments, and entertainment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: This Morning Target entity description: This Morning is a long-running British daytime television magazine show featuring a mix of news, interviews, lifestyle segments, and entertainment.
-
A.
Good Morning Britain
Good Morning Britain is a British weekday breakfast television news and talk show featuring headlines, interviews, and topical discussions.
-
B.
Good Morning America
Good Morning America is a long-running American morning television show on ABC that features news, interviews, and lifestyle segments.
-
C.
Woman's Hour
Woman's Hour is a long-running BBC Radio 4 magazine programme that focuses on issues, stories, and culture from women's perspectives.
-
D.
BBC Breakfast
BBC Breakfast is a long-running British morning television news and magazine programme featuring news, interviews, weather, and lifestyle segments.
-
E.
The Now Show
The Now Show is a long-running BBC Radio 4 comedy series that satirically reviews the week's news through sketches, stand-up, and musical segments.
- 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_69a885e9b0ac819093a9806ad0efc82c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a907fe8b0c8190a765afd3a10ee5e0 |
completed | March 5, 2026, 4:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad308f99d8819095c2ed404d4170b3 |
completed | March 8, 2026, 8:17 a.m. |
| NEDg | Description generation | batch_69ad3122d16081909cc0ad2fc55ee761 |
completed | March 8, 2026, 8:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad31c7a2b08190a75ee4face596565 |
completed | March 8, 2026, 8:22 a.m. |
Created at: March 4, 2026, 7:26 p.m.