Triple
T29297170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lego Star Wars: The Complete Saga |
E742863
|
entity |
| Predicate | featuresStoryFrom |
P44758
|
FINISHED |
| Object | Star Wars: Episode I – The Phantom Menace |
—
|
NE NERFINISHED |
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: Star Wars: Episode I – The Phantom Menace | Statement: [Lego Star Wars: The Complete Saga, featuresStoryFrom, Star Wars: Episode I – The Phantom Menace]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresStoryFrom Context triple: [Lego Star Wars: The Complete Saga, featuresStoryFrom, Star Wars: Episode I – The Phantom Menace]
-
A.
storyBy
Indicates that one entity is the creator or author of the story associated with another entity.
-
B.
notableFeatureInStory
Indicates that a particular feature, element, or characteristic plays a significant or prominent role within a story.
-
C.
sourceOfStories
chosen
Indicates that one entity serves as the origin or provider of stories for another entity.
-
D.
storyElement
Indicates that one entity functions as a narrative component or part within the structure of another entity’s story.
-
E.
featuredFor
Indicates that one entity is highlighted, promoted, or specially showcased in the context or for the benefit of another entity.
- 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_69f0912323c48190b9a24ef8cf359225 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69ff49f888348190b9c55afa73b99e6a |
completed | May 9, 2026, 2:51 p.m. |
| PD | Predicate disambiguation | batch_69ff49614ef88190ac70b034c55ad738 |
completed | May 9, 2026, 2:49 p.m. |
Created at: April 28, 2026, 1:07 p.m.