Triple
T11802609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexander Scammell |
E280663
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Scammell
Scammell is an English surname borne by various notable individuals, including figures in American Revolutionary history and British industry.
|
E947221
|
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: Scammell | Statement: [Alexander Scammell, familyName, Scammell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scammell Context triple: [Alexander Scammell, familyName, Scammell]
-
A.
Metro-Cammell
Metro-Cammell was a major British railway rolling stock manufacturer, best known for producing multiple generations of diesel and electric trains for the UK rail network.
-
B.
Leyland Trucks
Leyland Trucks is a British commercial vehicle manufacturer known for producing medium and heavy-duty trucks, now operating as part of the global PACCAR group.
-
C.
Neoplan
Neoplan is a German bus and coach manufacturer renowned for its innovative, high-end touring and city buses.
-
D.
Bentley Truck
Bentley Truck is a song by 2 Chainz and Lil Wayne from their collaborative album "ColleGrove."
-
E.
Kenworth
Kenworth is a prominent American manufacturer of heavy-duty and medium-duty trucks known for their durability and use in commercial freight and vocational applications.
- 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: Scammell Triple: [Alexander Scammell, familyName, Scammell]
Generated description
Scammell is an English surname borne by various notable individuals, including figures in American Revolutionary history and British industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Scammell Target entity description: Scammell is an English surname borne by various notable individuals, including figures in American Revolutionary history and British industry.
-
A.
Metro-Cammell
Metro-Cammell was a major British railway rolling stock manufacturer, best known for producing multiple generations of diesel and electric trains for the UK rail network.
-
B.
Leyland Trucks
Leyland Trucks is a British commercial vehicle manufacturer known for producing medium and heavy-duty trucks, now operating as part of the global PACCAR group.
-
C.
Neoplan
Neoplan is a German bus and coach manufacturer renowned for its innovative, high-end touring and city buses.
-
D.
Bentley Truck
Bentley Truck is a song by 2 Chainz and Lil Wayne from their collaborative album "ColleGrove."
-
E.
Kenworth
Kenworth is a prominent American manufacturer of heavy-duty and medium-duty trucks known for their durability and use in commercial freight and vocational applications.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5a5a2048190b68027f622366079 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f1314300248190847b9c61bbfda121 |
completed | April 28, 2026, 10:14 p.m. |
| NEDg | Description generation | batch_69f141b1c50c819081a8055d951a49de |
completed | April 28, 2026, 11:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f14fcb63208190ad1185ad66314fa9 |
completed | April 29, 2026, 12:24 a.m. |
Created at: April 8, 2026, 9:42 p.m.