Triple
T21536817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Replicas |
E531369
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Mark Kilian |
—
|
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: Mark Kilian | Statement: [Replicas, musicBy, Mark Kilian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Kilian Context triple: [Replicas, musicBy, Mark Kilian]
-
A.
Mark Kilian
chosen
Mark Kilian is a South African-born film composer known for scoring numerous Hollywood movies and television projects.
-
B.
Victor Kilian
Victor Kilian was an American character actor known for his prolific work in film and television from the 1920s through the 1970s.
-
C.
Bruno Coulais
Bruno Coulais is a French composer best known for his atmospheric and innovative film scores, particularly in European cinema and animation.
-
D.
Oliver Berben
Oliver Berben is a German film and television producer known for his work on numerous high-profile projects, including international series such as the 2022 adaptation of Resident Evil.
-
E.
Patrick Demarchelier
Patrick Demarchelier was a renowned French fashion photographer celebrated for his iconic work with major magazines, luxury brands, and supermodels from the late 20th century onward.
- 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_69e0c45e5b8881908ac18fc2f493b114 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d0e5a9c8190894ec3666d3296aa |
completed | April 26, 2026, 11:17 p.m. |
Created at: April 16, 2026, 6:27 p.m.