Triple
T10396615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tin Star |
E245036
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Katherine Kelly |
E84833
|
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: Katherine Kelly | Statement: [Tin Star, starring, Katherine Kelly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katherine Kelly Context triple: [Tin Star, starring, Katherine Kelly]
-
A.
Katherine Kelly
chosen
Katherine Kelly is a British actress best known for her roles in television dramas such as "Coronation Street" and "Mr Selfridge."
-
B.
Kathryn Kelly
Kathryn Kelly was an American criminal best known for partnering with her husband, gangster George "Machine Gun" Kelly, in high-profile kidnappings during the early 1930s.
-
C.
Kathleen Kelly
Kathleen Kelly is the daughter of Kansas Governor Laura Kelly.
-
D.
Megyn Kelly
Megyn Kelly is an American journalist, attorney, and former Fox News and NBC News anchor known for her high-profile political interviews and commentary.
-
E.
Kayte Walsh
Kayte Walsh is a British former flight attendant who is best known as the wife of American actor Kelsey Grammer.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9cf79348190975d6c1791e3b621 |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d795cf331c8190b35caf3997dc29a3 |
completed | April 9, 2026, 12:04 p.m. |
Created at: April 6, 2026, 12:06 p.m.