Triple
T19788594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berger |
E475344
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | John Berger |
—
|
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 Berger | Statement: [Berger, hasNotableBearer, John Berger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Berger Context triple: [Berger, hasNotableBearer, John Berger]
-
A.
John Berger
chosen
John Berger was a British art critic, novelist, painter, and Marxist intellectual best known for his influential book and television series "Ways of Seeing."
-
B.
T. J. Clark
T. J. Clark is a prominent British art historian and critic known for his influential Marxist analyses of 19th-century French painting and modern art.
-
C.
Susan Sontag
Susan Sontag was an American writer, cultural critic, and public intellectual known for her influential essays on photography, illness, art, and politics.
-
D.
R. B. Kitaj
R. B. Kitaj was an American-born British painter known for his intellectually rich, figurative works and his association with the London School of artists.
-
E.
Henry Barthes
Henry Barthes is a disillusioned yet compassionate substitute teacher who struggles with emotional detachment while confronting the failures of the education system in the film "Detachment."
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65389c9ac81909e61b3cbb9213e72 |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:49 p.m.