Triple
T14287573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School Reunion |
E354213
|
entity |
| Predicate | featuresActor |
P15562
|
FINISHED |
| Object | John Leeson |
E199479
|
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: John Leeson | Statement: [School Reunion, featuresActor, John Leeson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Leeson Context triple: [School Reunion, featuresActor, John Leeson]
-
A.
John Leeson
chosen
John Leeson is a British actor best known for voicing the robotic dog K-9 in the Doctor Who television franchise.
-
B.
Geoffrey Haslam
Geoffrey Haslam is a record producer best known for his work on Bette Midler’s debut album "The Divine Miss M."
-
C.
Graham Stanton
Graham Stanton is a senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of Fighter Command.
-
D.
Geoffrey Thompson
Geoffrey Thompson is a notable member of the Thompson family, recognized for his prominence and contributions associated with the family’s legacy.
-
E.
David Soward
David Soward is an entrepreneur best known as a co-founder of the cosmetics brand Urban Decay, which helped popularize edgy, alternative makeup in the 1990s.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de698023288190b1d705235c2b2ca3 |
completed | April 14, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe249ebd3c81908d8b562845d9ceb1 |
completed | May 8, 2026, 5:59 p.m. |
Created at: April 10, 2026, 1:11 a.m.