Triple
T17693166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karl Kennedy |
E441085
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Malcolm Kennedy |
—
|
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: Malcolm Kennedy | Statement: [Karl Kennedy, relative, Malcolm Kennedy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malcolm Kennedy Context triple: [Karl Kennedy, relative, Malcolm Kennedy]
-
A.
Malcolm Kennedy
chosen
Malcolm Kennedy is a fictional character from the Australian soap opera "Neighbours," known as one of Karl and Susan Kennedy’s children.
-
B.
Karl Kennedy
Karl Kennedy is a long-running fictional doctor and central character on the Australian soap opera "Neighbours," known for his complex family and relationship storylines.
-
C.
Malcolm Cameron
Malcolm Cameron is a notable individual who shares the surname Cameron and is recognized for his prominence in public or professional life.
-
D.
Lord Kennedy
Lord Kennedy is a Scottish noble title historically associated with the leadership of Clan Kennedy and the Ayrshire peerage.
-
E.
Peter MacGregor-Scott
Peter MacGregor-Scott was a British film and television producer best known for his work on major Hollywood action and franchise films in the 1980s and 1990s.
- 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47153a5c8819095c36fd414167fb1 |
completed | April 19, 2026, 6:08 a.m. |
Created at: April 10, 2026, 10:03 a.m.