Triple
T17297213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cyril Delevanti |
E419941
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Cyril Delevanti |
—
|
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: Cyril Delevanti | Statement: [Cyril Delevanti, name, Cyril Delevanti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cyril Delevanti Context triple: [Cyril Delevanti, name, Cyril Delevanti]
-
A.
Cyril Delevanti
chosen
Cyril Delevanti was a British-born character actor known for his distinctive features and numerous supporting roles in American films and television from the 1930s through the 1960s.
-
B.
Cyril Raffaelli
Cyril Raffaelli is a French stuntman, martial artist, and actor known for his high-intensity action choreography and performances in films such as "District B13" and "Die Hard 4.0."
-
C.
Jacques Cruppi
Jacques Cruppi was a French lawyer, politician, and art patron active in the late 19th and early 20th centuries.
-
D.
Jean Leonetti
Jean Leonetti is a French politician and physician known for his work on end-of-life legislation and his long-standing role in center-right national politics.
-
E.
Cyril Ehrlich
Cyril Ehrlich was a British music historian and economist known for his influential studies on the social and economic history of music and musicians.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e437881d688190a633beacba6bc0ae |
completed | April 19, 2026, 2:01 a.m. |
Created at: April 10, 2026, 5:40 a.m.