Triple
T2200491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atomic Blonde |
E50476
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Jonathan Sela |
E219932
|
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: Jonathan Sela | Statement: [Atomic Blonde, cinematographyBy, Jonathan Sela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan Sela Context triple: [Atomic Blonde, cinematographyBy, Jonathan Sela]
-
A.
Jonathan Sela
chosen
Jonathan Sela is a cinematographer known for his dynamic, high-energy visual work on major action films and thrillers.
-
B.
Jonathan Teplitzky
Jonathan Teplitzky is an Australian film director known for character-driven dramas such as "The Railway Man" and "Burning Man."
-
C.
Sebastian Maltz
Sebastian Maltz is an actor known for his role in the television drama series "Patrick Melrose."
-
D.
Mark Rosenberg
Mark Rosenberg was an American film producer known for his work on notable movies of the 1980s and early 1990s.
-
E.
Jeremy Gara
Jeremy Gara is a Canadian drummer and multi-instrumentalist best known as a longtime member of the indie rock band Arcade Fire.
- 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_69a88b044ab48190add007487680f009 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbfa06bb4819092d7021358846e5f |
completed | March 7, 2026, 6:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3b515c081909d6ad7f0506ea5a8 |
completed | March 9, 2026, 11:49 a.m. |
Created at: March 4, 2026, 7:46 p.m.