Triple
T17990769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Men & Chicken |
E430363
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Sebastian Blenkov |
—
|
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: Sebastian Blenkov | Statement: [Men & Chicken, cinematographyBy, Sebastian Blenkov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sebastian Blenkov Context triple: [Men & Chicken, cinematographyBy, Sebastian Blenkov]
-
A.
Sebastian Blenkov
chosen
Sebastian Blenkov is a cinematographer known for his work on the British World War II film "Their Finest."
-
B.
Sasha Vezenkov
Sasha Vezenkov is a Bulgarian-Cypriot professional basketball player known as one of Europe's elite forwards, particularly for his scoring and shooting prowess in the EuroLeague.
-
C.
Vlad Popov
Vlad Popov is a figure connected to Gleb Vaganov, likely within a shared professional or creative field.
-
D.
Ante Razov
Ante Razov is a retired American soccer forward best known as one of Major League Soccer’s most prolific scorers and a key attacking star for the Chicago Fire in the late 1990s and early 2000s.
-
E.
Anton Zlatopolskiy
Anton Zlatopolskiy is a film and television producer known for his work with the Russian media company Metro.
- 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b29f127c81908b0c4cb3787e002c |
completed | April 19, 2026, 10:46 a.m. |
Created at: April 10, 2026, 10:23 a.m.