Triple
T22308147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ichimei Fukuda |
E551439
|
entity |
| Predicate | relationshipTypeWithAlmaBelasco |
P147994
|
FINISHED |
| Object | lifelong love |
—
|
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: lifelong love | Statement: [Ichimei Fukuda, relationshipTypeWithAlmaBelasco, lifelong love]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWithAlmaBelasco Context triple: [Ichimei Fukuda, relationshipTypeWithAlmaBelasco, lifelong love]
-
A.
relationshipTypeWithBlancaTrueba
Indicates that the subject has a specific type of relationship with Blanca Trueba.
-
B.
relationshipToBéralde
Indicates the type or nature of a person or entity’s relationship to Béralde.
-
C.
hasRelationshipTypeWith Alexandra Bergson
Indicates that there exists a specific type or category of relationship between an entity and Alexandra Bergson.
-
D.
relationshipTypeWithAlceste
Indicates the specific nature or category of relationship that an entity has with Alceste.
-
E.
relationshipType
Indicates the specific kind of relationship that exists between two or more entities.
- F. None of above. chosen
Provenance (4 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_69e11e46c0188190800181a4233f28fe |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1574c8a248190bf5eef5be78381fd |
completed | April 29, 2026, 12:56 a.m. |
| PD | Predicate disambiguation | batch_69e72ffa438481908f80879aef2a589b |
completed | April 21, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e75dc7b08081909d64441e979c2fa4 |
completed | April 21, 2026, 11:21 a.m. |
Created at: April 16, 2026, 8:41 p.m.