Triple
T32393888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chitoge Kirisaki |
E827749
|
entity |
| Predicate | fakeRelationshipWith |
P34570
|
FINISHED |
| Object | Raku Ichijou |
—
|
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: Raku Ichijou | Statement: [Chitoge Kirisaki, fakeRelationshipWith, Raku Ichijou]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fakeRelationshipWith Context triple: [Chitoge Kirisaki, fakeRelationshipWith, Raku Ichijou]
-
A.
inRelationshipWith
Indicates that two entities are mutually involved in a defined personal, romantic, or partnership relationship with each other.
-
B.
closeRelationship
Indicates a strong, intimate, or emotionally significant bond between two entities, suggesting familiarity, trust, and frequent or meaningful interaction.
-
C.
proposedRelationship
Indicates that one entity has suggested or put forward the possibility of entering into a specific type of relationship with another entity.
-
D.
fictionalRelationship
chosen
Indicates a relationship that exists only within a fictional or imagined context between entities.
-
E.
laterRelationshipWith
Indicates that one entity has a relationship with another that occurs at a later time relative to some reference point or prior relationship.
- 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_69f349184e7481909c6c54428cb9cf12 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c212e5f08190acb45b9190a296fe |
completed | May 3, 2026, 3:33 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6eb32c8190bf405b2011fa48f7 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:52 a.m.