Triple
T20644956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Highgate School |
E507330
|
entity |
| Predicate | hasAlumni |
P51
|
FINISHED |
| Object | John Tavener |
—
|
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: John Tavener | Statement: [Highgate School, hasAlumni, John Tavener]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Tavener Context triple: [Highgate School, hasAlumni, John Tavener]
-
A.
John Tavener
chosen
John Tavener was a British composer known for his spiritually inspired, minimalist choral and orchestral works rooted in Christian mysticism and Eastern Orthodox traditions.
-
B.
John Rutter
John Rutter is a British composer, conductor, and arranger best known for his choral music and carol settings widely performed by choirs around the world.
-
C.
Jonathan Harvey
Jonathan Harvey is a British composer renowned for his innovative use of electronics and spectral techniques in contemporary classical music.
-
D.
Jonathan Harvey
Jonathan Harvey is a British playwright and screenwriter best known for creating the popular sitcom "Gimme Gimme Gimme" and writing the play "Beautiful Thing."
-
E.
Edward Purcell
Edward Purcell was an American physicist and Nobel laureate best known for his discovery of nuclear magnetic resonance, which laid the foundation for technologies such as MRI.
- 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af1dd79481909de985d03ab861c2 |
completed | April 20, 2026, 10:56 p.m. |
Created at: April 16, 2026, 11:43 a.m.