Triple
T13605596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miraikan |
E325052
|
entity |
| Predicate | hasFormerAstronautAsDirector |
P110383
|
FINISHED |
| Object | Mamoru Mohri |
—
|
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: Mamoru Mohri | Statement: [Miraikan, hasFormerAstronautAsDirector, Mamoru Mohri]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormerAstronautAsDirector Context triple: [Miraikan, hasFormerAstronautAsDirector, Mamoru Mohri]
-
A.
workedAsDirectorFor
Indicates that one entity held the role of director in relation to another entity, such as an organization, project, or production.
-
B.
hasDirectorStar
Indicates that a person both directed and starred in the same work (e.g., film, show, or production).
-
C.
isDirectedBy
Indicates that one entity serves as the director or guiding authority responsible for the creation, management, or execution of another entity (such as a film, project, or organization).
-
D.
directorSince
Indicates that one entity has held the role of director for another entity starting from a specified point in time.
-
E.
hasDirectorInKeyWork
Indicates that a director is associated with a key or primary work of an entity (such as a film, series, or major production).
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbb9ee3f081909056dc1a92c40b7a |
completed | April 12, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69dbae1b3ee481909bd43ded6227a3e5 |
completed | April 12, 2026, 2:37 p.m. |
| PDg | Predicate description generation | batch_69dbbb8c77dc8190b7bd803b5e168d23 |
completed | April 12, 2026, 3:34 p.m. |
Created at: April 9, 2026, 9:50 p.m.