Triple
T26291852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanaka Reina |
E661295
|
entity |
| Predicate | talentAgency |
P5602
|
FINISHED |
| Object | Up-Front Promotion |
—
|
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: Up-Front Promotion | Statement: [Tanaka Reina, talentAgency, Up-Front Promotion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: talentAgency Context triple: [Tanaka Reina, talentAgency, Up-Front Promotion]
-
A.
talentAgent
Indicates that one entity serves as a professional representative or manager (a talent agent) for another entity’s artistic, athletic, or entertainment career.
-
B.
discoversTalentOf
Indicates that one entity identifies or recognizes the talent or abilities possessed by another entity.
-
C.
employedActor
Indicates that one entity has hired or currently employs another entity to perform work or services.
-
D.
agency
chosen
Indicates that an entity acts on behalf of, represents, or exercises power or control for another entity in performing an action or fulfilling a role.
-
E.
romanticAgency
Indicates that one entity actively facilitates, manages, or exerts influence over another entity’s romantic relationships or pursuits.
- 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_69ee812bbd448190be4d7478b057990a |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f61f12b0f08190bc4a16907941864c |
completed | May 2, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69f61b3a8ae0819090189fbd8eb19f2f |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 26, 2026, 10:09 p.m.