Triple
T21039790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Sinatra as Major Bennett Marco |
E518289
|
entity |
| Predicate | notableSceneInvolvement |
P128577
|
FINISHED |
| Object | brainwashing flashback sequence |
—
|
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: brainwashing flashback sequence | Statement: [Frank Sinatra as Major Bennett Marco, notableSceneInvolvement, brainwashing flashback sequence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableSceneInvolvement Context triple: [Frank Sinatra as Major Bennett Marco, notableSceneInvolvement, brainwashing flashback sequence]
-
A.
notableScene
Indicates that a particular scene is especially significant, memorable, or noteworthy within a work or context.
-
B.
notableSceneAssociation
chosen
Indicates an association between an entity and a notable or memorable scene in which it prominently appears or plays a significant role.
-
C.
notableLabelScene
Indicates that a particular scene is notably associated with, or prominently labeled by, a specific tag, title, or descriptor.
-
D.
notableAppearance
Indicates that an entity is prominently featured or makes a significant appearance in another work, event, or context.
-
E.
performedInScene
Indicates that an action or event took place within a specific scene or setting.
- 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fceed9148190903adb3b55f65242 |
completed | April 21, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf6728881908a2a43a5c8804a2a |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:14 p.m.