Triple
T6009104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Kessel |
E133786
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Joseph Kessel |
E133786
|
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: Joseph Kessel | Statement: [Joseph Kessel, name, Joseph Kessel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joseph Kessel Context triple: [Joseph Kessel, name, 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.
Walter Miller
Walter Miller was an early 20th-century American film actor known for his work in silent cinema.
-
C.
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.
-
D.
Hans Matheson
Hans Matheson is a Scottish actor known for his roles in period dramas and literary adaptations in film and television.
-
E.
Jules Roman
Jules Roman is a film producer and co-founder of Tippett Studio, known for her work alongside visual effects artist Phil Tippett on numerous high-profile movies.
- 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_69c0087361a48190905c6b55969852b8 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f4e27a881909cc3f7fef62abc3b |
completed | March 22, 2026, 8:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1089bd870819096c0f6c7cf484c50 |
completed | March 23, 2026, 9:32 a.m. |
Created at: March 22, 2026, 4:06 p.m.