Triple
T35728108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo! |
E1032670
|
entity |
| Predicate | screenwriterOfSegmentInteriorDesign |
P169297
|
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!, screenwriterOfSegmentInteriorDesign, Michel Gondry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: screenwriterOfSegmentInteriorDesign Context triple: [Tokyo!, screenwriterOfSegmentInteriorDesign, Michel Gondry]
-
A.
screenwriterDepictionBy
Indicates a relationship where a screenwriter is portrayed or represented by another entity, such as in a work, record, or description.
-
B.
screenwriterInvolved
chosen
Indicates that a screenwriter participated in the creation or development of a particular work or project.
-
C.
screenwriterInstanceOf
Indicates that a screenwriter belongs to or is classified as a specific type, category, or class of entity.
-
D.
screenwriterForStudio
Indicates that a person serves as a screenwriter employed by or writing for a particular studio.
-
E.
screenwriterInterpretationBy
Indicates that a particular interpretation or version of a work is created or provided by a specific screenwriter.
- 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_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:05 p.m.