Triple
T12530522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthew |
E299549
|
entity |
| Predicate | hasFlashbackScenes |
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: [Matthew, hasFlashbackScenes, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFlashbackScenes Context triple: [Matthew, hasFlashbackScenes, 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.
hasCutscenes
Indicates that the subject includes or features one or more non-interactive cinematic sequences (cutscenes).
-
C.
hasReenactments
Indicates that an event, scene, or situation is represented again through staged or dramatized performances.
-
D.
hasPostCreditsScene
Indicates that a film or episode includes a scene that appears during or after the closing credits.
-
E.
hasMiracleScene
Indicates that a scene involves a miraculous or supernatural event occurring.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d9540d7b788190a0d57b098e90e491 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.