Triple
T30349692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ai Fuyuumi |
E771957
|
entity |
| Predicate | relationshipTypeWithEitaKidou |
P201944
|
FINISHED |
| Object | childhood friend |
—
|
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: childhood friend | Statement: [Ai Fuyuumi, relationshipTypeWithEitaKidou, childhood friend]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWithEitaKidou Context triple: [Ai Fuyuumi, relationshipTypeWithEitaKidou, childhood friend]
-
A.
relationshipType
Indicates the specific kind of relationship that exists between two or more entities.
-
B.
relationshipTypeWithTiamat
chosen
Indicates the specific nature or category of relationship an entity has with Tiamat.
-
C.
relatedType
Indicates that one entity is connected to another through a specified type or category of relationship.
-
D.
unitRelation
Indicates a relationship between units, such as how one unit is associated with, derived from, or converted to another.
-
E.
relationshipTypeStart
Indicates the type or category of relationship that begins or is initiated at a specific point or event.
- 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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a0248062e608190aae1afdae38d2e5a |
completed | May 11, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_6a02465a0d38819084c3a6813fb943fc |
completed | May 11, 2026, 9:12 p.m. |
Created at: April 29, 2026, 7:56 p.m.