Triple
T19352120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kismet |
E484047
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Mike Kershaw |
—
|
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: Mike Kershaw | Statement: [Kismet, creator, Mike Kershaw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Kershaw Context triple: [Kismet, creator, Mike Kershaw]
-
A.
Mike Kershaw
chosen
Mike Kershaw is a software developer best known for creating the wireless network detector and sniffer tool Kismet.
-
B.
Jeff Jarrett
Jeff Jarrett is an American professional wrestler, promoter, and co-founder of Total Nonstop Action Wrestling (TNA), known for his influential role in the growth of Impact Wrestling and multiple world championship reigns across major promotions.
-
C.
Gary Jarrett
Gary Jarrett was a Canadian professional ice hockey forward who played in both the NHL and WHA during the 1960s and 1970s.
-
D.
John Briscoe
John Briscoe was a renowned engineer and water resources expert recognized globally for his contributions to water management and policy.
-
E.
Will Halloway
Will Halloway is a thoughtful and courageous young boy who confronts a sinister traveling carnival in Ray Bradbury’s dark fantasy novel "Something Wicked This Way Comes."
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61905b16881909ab0e932bb9a0cda |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 10, 2026, 1:34 p.m.