Triple
T26896138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jason Marsden as Kovu (adult) |
E677902
|
entity |
| Predicate | characterRomanticRelation |
P143936
|
FINISHED |
| Object | mate of Kiara |
—
|
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: mate of Kiara | Statement: [Jason Marsden as Kovu (adult), characterRomanticRelation, mate of Kiara]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterRomanticRelation Context triple: [Jason Marsden as Kovu (adult), characterRomanticRelation, mate of Kiara]
-
A.
characterActorRelationship
Indicates a relationship where an actor portrays or is associated with a specific character in a work.
-
B.
literaryRelationship
Indicates a relationship between entities that are connected through literature, such as authorship, influence, adaptation, or other text-based associations.
-
C.
romanticPartnerInSeries
chosen
Indicates that one character is portrayed as a romantic partner of another character within the context of a specific series or narrative.
-
D.
fictionalRelationship
Indicates a relationship that exists only within a fictional or imagined context between entities.
-
E.
relationshipToCharacter
Indicates the specific type of personal, social, or narrative connection that one entity has to a given character.
- 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_69eee9befee48190a26f214faa867be7 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f74062b9388190b30546cf700a825c |
completed | May 3, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69f73c802b848190b61a416b7488bd96 |
completed | May 3, 2026, 12:16 p.m. |
Created at: April 27, 2026, 5:48 a.m.