Triple
T26291856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanaka Reina |
E661295
|
entity |
| Predicate | prominentRoleIn |
P140036
|
FINISHED |
| Object | Morning Musume |
E1383118
|
NE 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: Morning Musume | Statement: [Tanaka Reina, prominentRoleIn, Morning Musume]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prominentRoleIn Context triple: [Tanaka Reina, prominentRoleIn, Morning Musume]
-
A.
wasProminentIn
Indicates that an entity was notably active, influential, or widely recognized within a particular field, context, or time period.
-
B.
isOneOfMostProminentIn
Indicates that an entity ranks among the most notable, influential, or widely recognized members within a specified group, category, or domain.
-
C.
isMostProminentIn
Indicates that an entity stands out as the most notable, influential, or dominant among comparable entities within a specified context or domain.
-
D.
knownForRoleIn
chosen
Indicates that an entity is recognized or notable for performing a particular role in a specific work, project, or context.
-
E.
hasWidelyRecognizedPublicRole
Indicates that an entity holds a public position or function that is broadly known and acknowledged by the general public.
- F. None of above.
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_69ee812bbd448190be4d7478b057990a |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60eaaac4c8190bcd347bdbe78917e |
completed | May 2, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a11bb03d0108190b3ede35c7fc5204b |
completed | May 23, 2026, 2:34 p.m. |
| PD | Predicate disambiguation | batch_69f60b874cc88190a487230abb69efea |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 26, 2026, 10:09 p.m.