Triple
T33105213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shinsuke Nakamura |
E847169
|
entity |
| Predicate | usesEntranceGesture |
P139008
|
FINISHED |
| Object | trademark body contortions and poses |
—
|
LITERAL 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: trademark body contortions and poses | Statement: [Shinsuke Nakamura, usesEntranceGesture, trademark body contortions and poses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesEntranceGesture Context triple: [Shinsuke Nakamura, usesEntranceGesture, trademark body contortions and poses]
-
A.
hasAutomaticEntrance
Indicates that an entity is equipped with an entrance that operates automatically (e.g., opens or closes without manual effort).
-
B.
hasEntrance
Indicates that one entity possesses or provides an entry point or access way to another entity or space.
-
C.
hasEntranceOn
Indicates that one entity’s entrance or access point is located on or faces a specified side, boundary, or feature of another entity.
-
D.
usesHandGestures
chosen
Indicates that an entity communicates or expresses itself by making deliberate movements or signals with its hands.
-
E.
hasEntranceStyle
Indicates the architectural or design style characterizing the entrance of an entity (such as a building or space).
- 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_69f3495686508190b76bf20fa5e00bf7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6db6af1d88190989810182354d60f |
completed | May 3, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69f6d82d068c8190940a3200ed760e38 |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:26 a.m.