Triple
T13638929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kemp |
E325923
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Kempe |
E325923
|
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: Kempe | Statement: [Kemp, hasVariant, Kempe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kempe Context triple: [Kemp, hasVariant, Kempe]
-
A.
Kempson
Kempson is an English surname most notably associated with the British acting family that includes actress Rachel Kempson.
-
B.
Kemp
chosen
Kemp is a surname most famously associated with former NBA All-Star forward Shawn Kemp, known for his high-flying dunks with the Seattle SuperSonics in the 1990s.
-
C.
Kemp
Kemp is a character in H. G. Wells' science fiction novel "The Invisible Man," serving as a former acquaintance and eventual victim of the unhinged scientist Dr. Jack Griffin.
-
D.
Dahlkemper
Dahlkemper is a surname most prominently associated with American professional soccer player Abby Dahlkemper.
-
E.
Cayley
Cayley is a surname most notably associated with the influential 19th-century British mathematician Arthur Cayley, a pioneer in group theory and matrix algebra.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc5a84cc4819098a975e33250c89b |
completed | April 12, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78af46fe481909c6f9a6f58f887d1 |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:51 p.m.