Triple
T14680696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Scoon |
E344774
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Scoon
Scoon is a surname most notably associated with Paul Scoon, the former Governor-General of Grenada.
|
E1113650
|
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: Scoon | Statement: [Paul Scoon, familyName, Scoon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scoon Context triple: [Paul Scoon, familyName, Scoon]
-
A.
Blisco
Blisco is a fell in England's Lake District, known for its rugged slopes and panoramic summit views over the Southern Fells.
-
B.
Scooter
Scooter is a bespectacled, eager-to-please Muppet who often serves as the backstage gofer and stage manager for The Muppet Show.
-
C.
Scooter
"Scooter" is the informal nickname given to the Douglas A-4 Skyhawk, a compact, carrier-capable attack aircraft used extensively by the U.S. Navy and Marine Corps.
-
D.
Splott
Splott is a residential and industrial district in the city of Cardiff, Wales, known for its working-class heritage and proximity to the city centre and docks.
-
E.
Spiner
Spiner is the surname of American actor Brent Spiner, best known for portraying the android Data in the Star Trek franchise.
- 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: Scoon Triple: [Paul Scoon, familyName, Scoon]
Generated description
Scoon is a surname most notably associated with Paul Scoon, the former Governor-General of Grenada.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Scoon Target entity description: Scoon is a surname most notably associated with Paul Scoon, the former Governor-General of Grenada.
-
A.
Blisco
Blisco is a fell in England's Lake District, known for its rugged slopes and panoramic summit views over the Southern Fells.
-
B.
Scooter
Scooter is a bespectacled, eager-to-please Muppet who often serves as the backstage gofer and stage manager for The Muppet Show.
-
C.
Scooter
"Scooter" is the informal nickname given to the Douglas A-4 Skyhawk, a compact, carrier-capable attack aircraft used extensively by the U.S. Navy and Marine Corps.
-
D.
Splott
Splott is a residential and industrial district in the city of Cardiff, Wales, known for its working-class heritage and proximity to the city centre and docks.
-
E.
Spiner
Spiner is the surname of American actor Brent Spiner, best known for portraying the android Data in the Star Trek franchise.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb5692284819090f775be8e478522 |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde180ff0c8190a8b7c7804e36c3f8 |
completed | May 8, 2026, 1:13 p.m. |
| NEDg | Description generation | batch_69fde447189881909b4b0dc654a05e0d |
completed | May 8, 2026, 1:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fde53290a48190b3701472bb4e3d63 |
completed | May 8, 2026, 1:29 p.m. |
Created at: April 10, 2026, 1:28 a.m.