Triple
T35261764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nomad-Tan Ru |
E1018386
|
entity |
| Predicate | inspiredByEpisode |
P61130
|
FINISHED |
| Object | The Changeling |
—
|
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: The Changeling | Statement: [Nomad-Tan Ru, inspiredByEpisode, The Changeling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredByEpisode Context triple: [Nomad-Tan Ru, inspiredByEpisode, The Changeling]
-
A.
inspiredByAdaptationOf
Indicates that something draws its inspiration from an adaptation (rather than the original source) of another work or entity.
-
B.
inspiredByInUniverse
Indicates that one fictional element within a narrative is the in-universe inspiration or creative source for another fictional element in the same narrative world.
-
C.
associatedEpisode
Indicates that one entity is linked or connected to a particular episode as its related or relevant installment.
-
D.
inspiredTelevisionSeries
Indicates that one work served as the creative basis or inspiration for the development of a television series.
-
E.
inspiredByOrRelatedTo
chosen
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_69f76de4be5c8190a51705c07612cac8 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd0d0ba5c48190bddb3f0e6637544c |
completed | May 7, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69fd0c4324a8819086c90adf46216e0e |
completed | May 7, 2026, 10:03 p.m. |
Created at: May 3, 2026, 4:02 p.m.