Triple
T29893670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imperial Senate |
E759219
|
entity |
| Predicate | dissolvedInFictionalEvent |
P168221
|
FINISHED |
| Object | after the theft of the Death Star plans |
—
|
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: after the theft of the Death Star plans | Statement: [Imperial Senate, dissolvedInFictionalEvent, after the theft of the Death Star plans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dissolvedInFictionalEvent Context triple: [Imperial Senate, dissolvedInFictionalEvent, after the theft of the Death Star plans]
-
A.
capturedInFictionalEvent
Indicates that an entity is depicted as being captured during a fictional event or scenario.
-
B.
locatedInFictionalEvent
Indicates that one entity (typically a place, object, or character) exists or occurs within the context or setting of a fictional event.
-
C.
associatedWithFictionalEvent
Indicates that an entity has a connection or involvement with a fictional event, such as being based on, inspired by, or participating in that imagined occurrence.
-
D.
hasEventInFiction
Indicates that a fictional work includes or depicts a particular event within its narrative.
-
E.
worksInFictionalContext
Indicates that an entity performs work or fulfills a role within a fictional or imagined setting rather than in real-world circumstances.
- F. None of above. chosen
Provenance (4 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_69f2245f1cf88190978c70d1a1d2cb73 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f67729a7ac8190b99cf3fcc0e2c60c |
completed | May 2, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69f66ec8298c8190b41fe9d182c05676 |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 29, 2026, 6:03 p.m.