Triple
T35837034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cassandra Morgan |
E1035965
|
entity |
| Predicate | appearsInFlashback |
P139821
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Cassandra Morgan, appearsInFlashback, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInFlashback Context triple: [Cassandra Morgan, appearsInFlashback, yes]
-
A.
portrayedInFlashbacks
chosen
Indicates that an entity appears or is depicted specifically within flashback scenes of a narrative work.
-
B.
companionActorInFlashback
Indicates that one actor appears as a companion to another actor specifically within a flashback sequence.
-
C.
reappearsIn
Indicates that an entity that previously appeared becomes present or visible again in the same or another context.
-
D.
hasFlashbackStorylines
Indicates that the narrative includes scenes or sequences set in earlier time periods that reveal past events related to the main storyline.
-
E.
appearsInEpilogueOf
Indicates that one entity is featured or present in the epilogue section of another entity (such as a story, book, film, or other narrative work).
- 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_69f76e192a94819082db360cb91e6a8d |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fe766490c081908c49c8cc07d0ae9b |
completed | May 8, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69fe75bb5f4481908572a5ffcbdc5154 |
completed | May 8, 2026, 11:46 p.m. |
Created at: May 3, 2026, 4:06 p.m.