Triple
T4295760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Leys School |
E99706
|
entity |
| Predicate | hasAlumnus |
P51
|
FINISHED |
| Object | Sir John Tusa |
E181765
|
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: Sir John Tusa | Statement: [The Leys School, hasAlumnus, Sir John Tusa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sir John Tusa Context triple: [The Leys School, hasAlumnus, Sir John Tusa]
-
A.
Sir John Tusa
chosen
Sir John Tusa is a British arts administrator and broadcaster best known for his leadership roles at the BBC World Service and the Barbican Centre.
-
B.
John Glen
John Glen is a British film director best known for directing five James Bond movies during the 1980s.
-
C.
John Killoran
John Killoran is an actor known for his role in the National Theatre’s acclaimed stage production of "Frankenstein."
-
D.
John Bunn
John Bunn was an American basketball coach and administrator known for his influential roles in college basketball and contributions to the sport’s development.
-
E.
John O'Connor
John O'Connor was a prominent American cardinal of the Roman Catholic Church who served as Archbishop of New York in the late 20th century and was known for his outspoken views on social and moral issues.
- 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_69b3455175088190aa79c6e03b86647e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35085b864819086cf726285384566 |
completed | March 12, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c740c4a081909a63fb957f2926ae |
completed | March 14, 2026, 8:38 p.m. |
Created at: March 12, 2026, 11:08 p.m.