Triple
T9913415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Come Back to the Five and Dime, Jimmy Dean, Jimmy Dean (film) |
E185802
|
entity |
| Predicate | usesFlashbacks |
P66473
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Come Back to the Five and Dime, Jimmy Dean, Jimmy Dean (film), usesFlashbacks, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesFlashbacks Context triple: [Come Back to the Five and Dime, Jimmy Dean, Jimmy Dean (film), usesFlashbacks, true]
-
A.
hasFlashbackStorylines
chosen
Indicates that the narrative includes scenes or sequences set in earlier time periods that reveal past events related to the main storyline.
-
B.
usesTimeTravelFor
Indicates a relationship where an entity employs time travel as a means or method to achieve, affect, or interact with another entity or objective.
-
C.
hasMemoryBlackouts
Indicates that an entity experiences episodes of lost or impaired memory for certain periods or events.
-
D.
rememberedThrough
Indicates that one entity is remembered, commemorated, or kept in memory by means of, or through the influence of, another entity or medium.
-
E.
hasReenactments
Indicates that an event, scene, or situation is represented again through staged or dramatized performances.
- 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_69ca829b45f481909040f7b99a1976ed |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb53a300481909d917e487d8aab56 |
completed | April 2, 2026, 12:15 a.m. |
| PD | Predicate disambiguation | batch_69cd1d8c584081908b73de75eb18e438 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:41 p.m.