Triple
T15367099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clifton College |
E367442
|
entity |
| Predicate | hasNotableAlumni |
P51
|
FINISHED |
| Object | A. A. Milne |
E71273
|
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: A. A. Milne | Statement: [Clifton College, hasNotableAlumni, A. A. Milne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A. A. Milne Context triple: [Clifton College, hasNotableAlumni, A. A. Milne]
-
A.
A. A. Milne
chosen
A. A. Milne was an English author and playwright best known as the creator of the beloved children's character Winnie-the-Pooh.
-
B.
Alasdair Milne
Alasdair Milne was a British television executive best known for serving as Director-General of the BBC during the 1980s.
-
C.
J. M. Barrie
J. M. Barrie was a Scottish novelist and playwright best known as the creator of Peter Pan, the boy who wouldn’t grow up.
-
D.
Robert May
Robert May was a prominent theoretical ecologist and mathematical biologist known for his influential work on population dynamics and the application of chaos theory to ecology.
-
E.
Kenneth Grahame
Kenneth Grahame was a British writer best known for his classic children’s novel "The Wind in the Willows," which has inspired numerous adaptations in literature and film.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e4a7cdc8190b7b48c97e774c306 |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b4e968c8190a16824ee3ede13b2 |
completed | May 9, 2026, 10:24 a.m. |
Created at: April 10, 2026, 3:18 a.m.