Triple
T23398189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Leader |
E559420
|
entity |
| Predicate | inspiredSimilarTitles |
P21192
|
FINISHED |
| Object | Dear Leader |
—
|
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: Dear Leader | Statement: [Great Leader, inspiredSimilarTitles, Dear Leader]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredSimilarTitles Context triple: [Great Leader, inspiredSimilarTitles, Dear Leader]
-
A.
inspiredTitle
chosen
Indicates that one title was created under the influence or inspiration of another title.
-
B.
inspiredTelevisionSeries
Indicates that one work served as the creative basis or inspiration for the development of a television series.
-
C.
inspiredSpinOff
Indicates that one entity served as the creative or conceptual inspiration for another entity that was developed as a spin-off.
-
D.
inspiredAdaptationsIn
Indicates that one entity served as the creative source or influence for adaptations that were produced or manifested within another entity (such as a medium, work, or context).
-
E.
inspiredByOrRelatedTo
Indicates that one entity draws inspiration from, is influenced by, or is otherwise thematically or conceptually connected to 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4dd05cc81908c1e91974ffccf21 |
completed | April 29, 2026, 6:27 a.m. |
| PD | Predicate disambiguation | batch_69f061dde2e481908308952f9c0d3c2e |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:37 p.m.