Triple
T17444233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McBurney School |
E424737
|
entity |
| Predicate | notableAlumnus |
P304
|
FINISHED |
| Object | Richard Thomas |
—
|
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: Richard Thomas | Statement: [McBurney School, notableAlumnus, Richard Thomas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Thomas Context triple: [McBurney School, notableAlumnus, Richard Thomas]
-
A.
Richard Thomas
chosen
Richard Thomas is an American actor best known for his Emmy-winning role as John-Boy Walton on the television series "The Waltons."
-
B.
Ian George
Ian George is an Australian Anglican bishop who served as the Archbishop of Adelaide, leading the Anglican Church in South Australia.
-
C.
James Denton
James Denton is an American actor best known for playing plumber Mike Delfino on the television series "Desperate Housewives."
-
D.
Josh Perry
Josh Perry is an actor known for his role in the comedy film "Coffee Town."
-
E.
Andre Braugher
Andre Braugher is an American actor acclaimed for his powerful dramatic roles and his Emmy-winning performances in both television and film.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ffa2d84819086474649eba1065c |
completed | April 19, 2026, 3:46 a.m. |
Created at: April 10, 2026, 5:47 a.m.