Triple
T22395520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ouija |
E553618
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Anton Sanko |
—
|
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: Anton Sanko | Statement: [Ouija, musicBy, Anton Sanko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anton Sanko Context triple: [Ouija, musicBy, Anton Sanko]
-
A.
Anton Sanko
chosen
Anton Sanko is an American composer and producer known for his film and television scores, particularly in the horror and thriller genres.
-
B.
Anton Romako
Anton Romako was a 19th-century Austrian painter known for his psychologically intense portraits and innovative, expressive style that anticipated aspects of modern art.
-
C.
Andrei Sator
Andrei Sator is the main antagonist in Christopher Nolan's film "Tenet," a powerful Russian oligarch who orchestrates a time-inverting global catastrophe.
-
D.
Anton Valter
Anton Valter was a physicist associated with the Kharkiv Institute of Physics and Technology, known for his contributions to Soviet-era scientific research.
-
E.
Anton Zafir
Anton Zafir is a mixed martial artist who has competed in the UFC’s welterweight division.
- 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_69e11e4cf87c8190a1ff474daec326b7 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1585e84b081908c95ed3e0d987ed8 |
completed | April 29, 2026, 1:01 a.m. |
Created at: April 16, 2026, 8:45 p.m.