Triple
T8941710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikita Mikhalkov |
E212916
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | Dark Eyes |
E767201
|
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: Dark Eyes | Statement: [Nikita Mikhalkov, directed, Dark Eyes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dark Eyes Context triple: [Nikita Mikhalkov, directed, Dark Eyes]
-
A.
Dark Eyes
chosen
Dark Eyes is a 1987 Italian-Soviet romantic drama film starring Marcello Mastroianni, noted for its nostalgic tone and acclaimed performances.
-
B.
In His Eyes
"In His Eyes" is a poignant duet from the Broadway musical Jekyll & Hyde, sung by the characters Lucy and Emma as they reflect on their conflicted feelings for the same man.
-
C.
Angel Eyes
Angel Eyes is the ruthless, cold-blooded bounty hunter and primary antagonist portrayed by Lee Van Cleef in the classic Spaghetti Western film "The Good, the Bad and the Ugly."
-
D.
Angel Eyes
Angel Eyes is a 2001 romantic drama film starring Jennifer Lopez as a Chicago police officer who forms a healing bond with a mysterious, traumatized man.
-
E.
Angel Eyes
"Angel Eyes" is a song by the indie rock supergroup Nice As Fuck, known for its minimalist style and politically tinged, feminist themes.
- 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_69ca839694c88190b324ffeb43d23b08 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66b9c14c8190b80c3df0cdba2747 |
completed | April 1, 2026, 12:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc93a1e4c8190b33478783dcd09d7 |
completed | April 3, 2026, 2:05 p.m. |
Created at: March 30, 2026, 6:58 p.m.