Triple
T10008635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beggars Banquet Records |
E198313
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Martin Mills
Martin Mills is a prominent British music executive best known as the founder and head of the independent Beggars Group of record labels.
|
E834740
|
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: Martin Mills | Statement: [Beggars Banquet Records, foundedBy, Martin Mills]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martin Mills Context triple: [Beggars Banquet Records, foundedBy, Martin Mills]
-
A.
Martin Mill
Martin Mill is a small village in Kent, England, known for its rural setting and nearby railway station on the Dover–Deal line.
-
B.
Harold Hall
Harold Hall is the bumbling yet endearing aspiring performer portrayed by Harold Lloyd in the 1932 comedy film "Movie Crazy."
-
C.
Southgate
Southgate is a residential neighbourhood and ward within the town of Crawley in West Sussex, England.
-
D.
Southgate
Southgate is a coastal village on Wales’s scenic Gower Peninsula, known for its dramatic cliffs, beaches, and walking paths.
-
E.
Vaughan Mills
Vaughan Mills is a large shopping and outlet mall in Vaughan, Ontario, known for its extensive retail stores, entertainment venues, and proximity to major attractions like Canada’s Wonderland.
- 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: Martin Mills Triple: [Beggars Banquet Records, foundedBy, Martin Mills]
Generated description
Martin Mills is a prominent British music executive best known as the founder and head of the independent Beggars Group of record labels.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Martin Mills Target entity description: Martin Mills is a prominent British music executive best known as the founder and head of the independent Beggars Group of record labels.
-
A.
Martin Mill
Martin Mill is a small village in Kent, England, known for its rural setting and nearby railway station on the Dover–Deal line.
-
B.
Harold Hall
Harold Hall is the bumbling yet endearing aspiring performer portrayed by Harold Lloyd in the 1932 comedy film "Movie Crazy."
-
C.
Southgate
Southgate is a residential neighbourhood and ward within the town of Crawley in West Sussex, England.
-
D.
Southgate
Southgate is a coastal village on Wales’s scenic Gower Peninsula, known for its dramatic cliffs, beaches, and walking paths.
-
E.
Vaughan Mills
Vaughan Mills is a large shopping and outlet mall in Vaughan, Ontario, known for its extensive retail stores, entertainment venues, and proximity to major attractions like Canada’s Wonderland.
- 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_69ca830fcca48190bbbd9b20c233835f |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd38659c8190830d223edbfd74ec |
completed | April 2, 2026, 1:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d26a683c208190a79ebc2e6ec5893c |
completed | April 5, 2026, 1:58 p.m. |
| NEDg | Description generation | batch_69d26b4060548190980bd01ef550c4bd |
completed | April 5, 2026, 2:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d26bf054608190890377e9b7538842 |
completed | April 5, 2026, 2:04 p.m. |
Created at: March 30, 2026, 8:52 p.m.