Triple
T10682171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RoboCop |
E251783
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Jost Vacano |
E405988
|
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: Jost Vacano | Statement: [RoboCop, cinematographyBy, Jost Vacano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jost Vacano Context triple: [RoboCop, cinematographyBy, Jost Vacano]
-
A.
Jost Vacano
chosen
Jost Vacano is a German cinematographer renowned for his dynamic, technically innovative work on films such as "Das Boot," "RoboCop," and other major international productions.
-
B.
Valter
Valter is a masculine given name used in various European countries, generally equivalent to the English name Walter.
-
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.
Elviro
Elviro is a comic servant character from George Frideric Handel’s opera "Serse," known for his humorous disguises and light-hearted scenes.
-
E.
Karl Vash
Karl Vash was a cinematographer known for his work on the Nazi propaganda film "Triumph des Willens" directed by Leni Riefenstahl.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fcc30be481909922844b539b622d |
completed | April 9, 2026, 1:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d98885abf88190b54ed9db779d3ff0 |
completed | April 10, 2026, 11:32 p.m. |
Created at: April 8, 2026, 9:10 p.m.