Triple
T32897352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ride of the Valkyries |
E841511
|
entity |
| Predicate | notableUseInFilmScene |
P5773
|
FINISHED |
| Object | helicopter attack sequence in Apocalypse Now |
—
|
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: helicopter attack sequence in Apocalypse Now | Statement: [Ride of the Valkyries, notableUseInFilmScene, helicopter attack sequence in Apocalypse Now]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableUseInFilmScene Context triple: [Ride of the Valkyries, notableUseInFilmScene, helicopter attack sequence in Apocalypse Now]
-
A.
notableScene
Indicates that a particular scene is especially significant, memorable, or noteworthy within a work or context.
-
B.
usedInProductionOfFilm
Indicates that something (such as a resource, tool, or material) was utilized during the making or production process of a film.
-
C.
notableUse
chosen
Indicates that something is prominently or famously used by a particular entity, context, or for a specific purpose.
-
D.
mentionedInFilm
Indicates that an entity is referenced or talked about within the content of a film.
-
E.
hasTypeOfUseInFilm
Indicates that something is associated with a specific manner or category of use within the context of a film.
- 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_69f34945ae408190b72d8118c83beb77 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a0379f0cbe481909b4b8fc6cbe297f0 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:18 a.m.