Triple
T22707353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Cavaliers |
E561492
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Joseph Kessel |
—
|
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: Joseph Kessel | Statement: [Les Cavaliers, author, Joseph Kessel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joseph Kessel Context triple: [Les Cavaliers, author, Joseph Kessel]
-
A.
Joseph Kessel
chosen
Joseph Kessel was a French novelist and journalist, known for his adventure and war-themed works that inspired numerous films and became classics of 20th-century French literature.
-
B.
Pierre Boulle
Pierre Boulle was a French novelist best known for writing the science fiction novel that inspired the film "Planet of the Apes" and the war novel "The Bridge on the River Kwai."
-
C.
Walter Miller
Walter Miller was an early 20th-century American film actor known for his work in silent cinema.
-
D.
Michel Verne
Michel Verne was a French writer and playwright best known as the son of novelist Jules Verne and for editing, completing, and sometimes controversially revising his father's later works.
-
E.
Hans Matheson
Hans Matheson is a Scottish actor known for his roles in period dramas and literary adaptations in film and television.
- 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_69e2454f1348819088d83f420925a5c1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178cff7588190a40c8cef0f3cd44a |
completed | April 29, 2026, 3:19 a.m. |
Created at: April 17, 2026, 3:17 p.m.