Triple
T10567444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Shephard |
E249386
|
entity |
| Predicate | presenterOf |
P83
|
FINISHED |
| Object |
GMTV
GMTV was a British breakfast television programme and franchise that aired on ITV from 1993 to 2010, featuring news, entertainment, and lifestyle segments.
|
E872933
|
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: GMTV | Statement: [Ben Shephard, presenterOf, GMTV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GMTV Context triple: [Ben Shephard, presenterOf, GMTV]
-
A.
Sky News
Sky News is a British 24-hour television news channel and digital news service known for live breaking news coverage in the UK and internationally.
-
B.
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.
-
C.
BBC News Channel
BBC News Channel is a 24-hour British television news service providing rolling national and international news coverage.
-
D.
Channel 4
Channel 4 is the on-air brand used by Pittsburgh television station WTAE-TV, an ABC-affiliated local broadcast outlet.
-
E.
Channel 4
Channel 4 is a British public-service television broadcaster known for its innovative, often provocative programming and support of diverse and groundbreaking drama and comedy.
- 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: GMTV Triple: [Ben Shephard, presenterOf, GMTV]
Generated description
GMTV was a British breakfast television programme and franchise that aired on ITV from 1993 to 2010, featuring news, entertainment, and lifestyle segments.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GMTV Target entity description: GMTV was a British breakfast television programme and franchise that aired on ITV from 1993 to 2010, featuring news, entertainment, and lifestyle segments.
-
A.
Sky News
Sky News is a British 24-hour television news channel and digital news service known for live breaking news coverage in the UK and internationally.
-
B.
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.
-
C.
BBC News Channel
BBC News Channel is a 24-hour British television news service providing rolling national and international news coverage.
-
D.
Channel 4
Channel 4 is the on-air brand used by Pittsburgh television station WTAE-TV, an ABC-affiliated local broadcast outlet.
-
E.
Channel 4
Channel 4 is a British public-service television broadcaster known for its innovative, often provocative programming and support of diverse and groundbreaking drama and comedy.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5272ef5848190b76d671ea2d26314 |
completed | April 7, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b42879481909f9c98b2579c10a1 |
completed | April 10, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69d94d67e16481908efb939a3e65004c |
completed | April 10, 2026, 7:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d95227a1f48190ab847606a9ae0500 |
completed | April 10, 2026, 7:40 p.m. |
Created at: April 6, 2026, 12:36 p.m.