Triple
T13448602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King and Country |
E320547
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Jeremy Kemp |
E346161
|
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: Jeremy Kemp | Statement: [King and Country, starring, Jeremy Kemp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeremy Kemp Context triple: [King and Country, starring, Jeremy Kemp]
-
A.
Jeremy Kemp
chosen
Jeremy Kemp was a British character actor known for his roles in films such as "The Blue Max," "A Bridge Too Far," and numerous television dramas.
-
B.
Henry Ian Cusick
Henry Ian Cusick is a Scottish-Peruvian actor best known for his roles on television series such as Lost and The 100.
-
C.
Will Knaak
Will Knaak is an American guitarist and songwriter best known as a member of the alternative rock band Blue October.
-
D.
Andrew Hines
Andrew Hines is a music video director known for his creative visual work in the contemporary music industry.
-
E.
Stephen M. Kellen
Stephen M. Kellen was a prominent financier and philanthropist known for his leadership at Arnhold and S. Bleichroeder and his significant support of cultural and educational institutions.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaef758b08190b9aa5ec7082cd417 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d8892a88190b4a32865b32c8883 |
completed | May 3, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:41 p.m.