Triple
T35250274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terran Empire |
E1018074
|
entity |
| Predicate | eraDepictedIn |
P31570
|
FINISHED |
| Object | 23rd century (Mirror Universe) |
—
|
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: 23rd century (Mirror Universe) | Statement: [Terran Empire, eraDepictedIn, 23rd century (Mirror Universe)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraDepictedIn Context triple: [Terran Empire, eraDepictedIn, 23rd century (Mirror Universe)]
-
A.
eraDepicted
chosen
Indicates that a work or representation portrays, illustrates, or is set in a particular historical era or time period.
-
B.
commonlyDepictedOn
Indicates that something is frequently shown or represented on the surface, medium, or context of another thing.
-
C.
appearsInWorkOfArt
Indicates that an entity is depicted, represented, or otherwise featured within a particular work of art.
-
D.
imageDepictedIn
Indicates that a particular image is shown, represented, or included within another resource or context.
-
E.
depictsAuthorOf
Indicates that one entity visually represents or portrays the person who is the author 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_69f76de407d081909dfc3c419817ae93 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78f63c8788190b253a18de5ca1312 |
completed | May 3, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69f78e2d71248190b850c2802ec170c0 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:02 p.m.