Triple
T35728091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo! |
E1032670
|
entity |
| Predicate | segmentInteriorDesignDirector |
P89588
|
FINISHED |
| Object | Michel Gondry |
—
|
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: Michel Gondry | Statement: [Tokyo!, segmentInteriorDesignDirector, Michel Gondry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: segmentInteriorDesignDirector Context triple: [Tokyo!, segmentInteriorDesignDirector, Michel Gondry]
-
A.
partOfInteriorDesign
Indicates that one entity is a component or element within the interior design scheme of another entity.
-
B.
decorationDesigner
Indicates that one entity is the person or agent responsible for designing the decoration of another entity.
-
C.
interiorDecoratedBy
chosen
Indicates that the interior of a space or structure has been designed or decorated by a specific agent or entity.
-
D.
interiorStyle
Indicates that one entity has a particular interior design style or aesthetic characterized by the other entity.
-
E.
interiorOrganization
Indicates how the internal parts or elements of something are arranged, structured, or organized in relation to one another.
- 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_69f76e102b5881909e5d63a30a5cecbe |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:05 p.m.