Triple
T7970006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Droid Depot |
E185298
|
entity |
| Predicate | immersiveTheming |
P20708
|
FINISHED |
| Object | Star Wars in-universe workshop |
—
|
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: Star Wars in-universe workshop | Statement: [Droid Depot, immersiveTheming, Star Wars in-universe workshop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: immersiveTheming Context triple: [Droid Depot, immersiveTheming, Star Wars in-universe workshop]
-
A.
themeFor
Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
-
B.
themedAs
chosen
Indicates that something is characterized, styled, or organized according to a particular theme or motif.
-
C.
platformAppearance
Indicates how an entity is visually presented or styled on a particular platform or interface.
-
D.
hasThemingDetail
Indicates that something includes or is associated with a specific thematic element, motif, or stylistic detail.
-
E.
themeContrast
Indicates a relationship where two themes are compared or opposed to highlight their differences or tension.
- 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_69ca8297699481909b75a405f01e03af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bd304dc8190b9feee5e17fc66db |
completed | March 31, 2026, 3:13 a.m. |
| PD | Predicate disambiguation | batch_69cb047a8e4c81909b79e0f0bf56440c |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:13 p.m.