Triple
T27934553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Master of the Knights of Ren |
E708068
|
entity |
| Predicate | firstChronologicalAppearanceInCanonEra |
P124238
|
FINISHED |
| Object | time of the New Republic |
—
|
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: time of the New Republic | Statement: [Master of the Knights of Ren, firstChronologicalAppearanceInCanonEra, time of the New Republic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstChronologicalAppearanceInCanonEra Context triple: [Master of the Knights of Ren, firstChronologicalAppearanceInCanonEra, time of the New Republic]
-
A.
firstAppearanceUniverseEra
chosen
Indicates the specific universe era in which an entity makes its first recorded appearance.
-
B.
firstAppearanceApprox
Indicates that one entity is the approximate or estimated first appearance of another entity in time or context.
-
C.
firstAppearanceInLegendarium
Indicates the work or source within a fictional legendarium in which an entity is introduced or mentioned for the first time.
-
D.
firstPublicationYearOfAppearance
Indicates the year in which an entity (such as a work or character) first appeared in a published form.
-
E.
firstAppearanceFranchise
Indicates the franchise in which an entity made its first appearance.
- 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_69ef96bbf2c48190a9d0e0291457aab6 |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69ff7eb7189c81909a8f73fbc4c48e02 |
completed | May 9, 2026, 6:36 p.m. |
| PD | Predicate disambiguation | batch_69ff7e54e11081908fb5ce10c5aa7b53 |
completed | May 9, 2026, 6:35 p.m. |
Created at: April 27, 2026, 7:04 p.m.