Triple
T16601913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JSH |
E403348
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Skelton |
E609028
|
NE FINISHED |
How this triple was built (2 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: Skelton | Statement: [JSH, namedAfter, Skelton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skelton Context triple: [JSH, namedAfter, Skelton]
-
A.
Skelton
chosen
Skelton is a surname most famously associated with American comedian and entertainer Red Skelton.
-
B.
Skelton Knaggs
Skelton Knaggs was a British character actor known for his distinctive, sinister appearance and roles in 1940s Hollywood horror and thriller films.
-
C.
Skelton-in-Cleveland
Skelton-in-Cleveland is a village and civil parish in North Yorkshire, England, known historically for its ironstone mining and proximity to the North Sea coast.
-
D.
Skeletun
Skeletun is a popular Nigerian Afrobeats song by Tekno known for its catchy rhythm and danceable vibe.
-
E.
Mr. Bones
Mr. Bones is the nickname of Barnum Brown, the famed American paleontologist who discovered the first documented remains of Tyrannosaurus rex.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35d770a048190be42180b03efba0b |
completed | April 18, 2026, 10:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0075a48c088190b6585e42dcd73705 |
completed | May 10, 2026, 12:10 p.m. |
Created at: April 10, 2026, 5:17 a.m.