Triple
T12553547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2000 AD |
E300156
|
entity |
| Predicate | originalPublisherImprint |
P2763
|
FINISHED |
| Object |
IPC Fleetway
IPC Fleetway was a major British comics publisher and imprint known for producing influential titles in the UK comics industry.
|
E990476
|
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: IPC Fleetway | Statement: [2000 AD, originalPublisherImprint, IPC Fleetway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IPC Fleetway Context triple: [2000 AD, originalPublisherImprint, IPC Fleetway]
-
A.
Home Fleet
The Home Fleet was the Royal Navy’s primary battle fleet, responsible for defending British home waters and serving as a key strategic force in both World Wars.
-
B.
Fleet
Fleet is a town in Hampshire, England, known for its commuter links to London and surrounding areas.
-
C.
Fleet
Fleet is a lightweight, next-generation integrated development environment (IDE) by JetBrains designed for collaborative, polyglot, and remote development.
-
D.
Fleet
Fleet is a surname of English origin borne by various notable individuals, including British actor James Fleet.
-
E.
Marshall Fleet Solutions
Marshall Fleet Solutions is a UK-based company specializing in transport refrigeration, tail lift services, and fleet management solutions for commercial vehicles.
- 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: IPC Fleetway Triple: [2000 AD, originalPublisherImprint, IPC Fleetway]
Generated description
IPC Fleetway was a major British comics publisher and imprint known for producing influential titles in the UK comics industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: IPC Fleetway Target entity description: IPC Fleetway was a major British comics publisher and imprint known for producing influential titles in the UK comics industry.
-
A.
Home Fleet
The Home Fleet was the Royal Navy’s primary battle fleet, responsible for defending British home waters and serving as a key strategic force in both World Wars.
-
B.
Fleet
Fleet is a town in Hampshire, England, known for its commuter links to London and surrounding areas.
-
C.
Fleet
Fleet is a lightweight, next-generation integrated development environment (IDE) by JetBrains designed for collaborative, polyglot, and remote development.
-
D.
Fleet
Fleet is a surname of English origin borne by various notable individuals, including British actor James Fleet.
-
E.
Marshall Fleet Solutions
Marshall Fleet Solutions is a UK-based company specializing in transport refrigeration, tail lift services, and fleet management solutions for commercial vehicles.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9548444d081908f00cea1ce7032c7 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65587524881908c933490bface976 |
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_69f657ea0c6c8190992a0101904e92f2 |
completed | May 2, 2026, 8 p.m. |
Created at: April 8, 2026, 9:58 p.m.