Triple
T19504363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Marhely |
E487980
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Daniel Marhely |
—
|
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: Daniel Marhely | Statement: [Daniel Marhely, name, Daniel Marhely]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Marhely Context triple: [Daniel Marhely, name, Daniel Marhely]
-
A.
Daniel Marhely
chosen
Daniel Marhely is a French tech entrepreneur best known for co-founding the music streaming service Deezer.
-
B.
Marcell Rév
Marcell Rév is a Hungarian cinematographer known for his visually striking, atmospheric work on films and series such as "Malcolm & Marie" and "Euphoria."
-
C.
David Palffy
David Palffy is a Canadian actor best known for his recurring villain roles on the science fiction television series Stargate SG-1.
-
D.
Bruno Pésery
Bruno Pésery is a French film producer known for his work on notable art-house and auteur-driven films.
-
E.
Daniel Balint
Daniel Balint is the conflicted neo-Nazi protagonist of the film "The Believer," whose Jewish heritage drives a profound internal struggle over faith, identity, and self-hatred.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e635105db8819084915dc2d047188d |
completed | April 20, 2026, 2:15 p.m. |
Created at: April 10, 2026, 1:40 p.m.