Triple
T7775563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spies |
E221380
|
entity |
| Predicate | filmmakingInnovation |
P2760
|
FINISHED |
| Object | complex cross-cutting |
—
|
LITERAL 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: complex cross-cutting | Statement: [Spies, filmmakingInnovation, complex cross-cutting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmmakingInnovation Context triple: [Spies, filmmakingInnovation, complex cross-cutting]
-
A.
filmingTechnique
chosen
Indicates the specific method or style used to capture visual content during the filming process.
-
B.
filmEditingAcademyAward
Indicates that an entity received or is associated with an Academy Award specifically for film editing.
-
C.
theatricalInnovation
Indicates the introduction or development of new, original, or experimental practices, techniques, or forms within theatrical performance or production.
-
D.
bestDocumentaryFeatureIntroduced
Indicates that an award category for Best Documentary Feature was established or first introduced.
-
E.
innovation
Indicates the introduction or development of something new or significantly improved compared to existing methods, products, or ideas.
- F. None of above.
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_69ca83ebbef881909ac47f789145fef7 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cae7e779ec8190b77296d9c2ac3210 |
completed | March 30, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69caa488532c819093ac40bba0b3c7ef |
completed | March 30, 2026, 4:27 p.m. |
Created at: March 30, 2026, 3:46 p.m.