Triple
T22099893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clem Clempson |
E546141
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Clem Clempson |
—
|
NE NERFINISHED |
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: Clem Clempson | Statement: [Clem Clempson, name, Clem Clempson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clem Clempson Context triple: [Clem Clempson, name, Clem Clempson]
-
A.
Clem Clempson
chosen
Clem Clempson is an English rock and blues guitarist best known for his work with bands like Colosseum, Humble Pie, and as a sought-after session and touring musician.
-
B.
Clem Smith
Clem Smith was an individual of sufficient historical or military significance to be interred at the Zachary Taylor National Cemetery in Louisville, Kentucky.
-
C.
Clem Clements
Clem Clements is a British hillwalker and compiler known for creating the original list of Grahams, a classification of Scottish hills between 2,000 and 2,500 feet.
-
D.
Chester Campbell
Chester Campbell is a ruthless and cunning Belfast-born inspector in the British Royal Irish Constabulary, best known as a primary antagonist in the television series "Peaky Blinders."
-
E.
Clem Bevans
Clem Bevans was an American character actor best known for his many film and television roles as crusty old-timers and rural eccentrics during the 1930s–1950s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1291440048190992c48893ced0b34 |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.