Triple
T33105196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shinsuke Nakamura |
E847169
|
entity |
| Predicate | entranceThemeCharacteristic |
P108297
|
FINISHED |
| Object | rock-based entrance music |
—
|
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: rock-based entrance music | Statement: [Shinsuke Nakamura, entranceThemeCharacteristic, rock-based entrance music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: entranceThemeCharacteristic Context triple: [Shinsuke Nakamura, entranceThemeCharacteristic, rock-based entrance music]
-
A.
entranceTheme
Indicates the music or theme that plays when an entity makes their entrance or initial appearance.
-
B.
entranceTrait
Indicates a characteristic or feature associated with how an entity enters or is accessed (e.g., through a particular type or style of entrance).
-
C.
entranceDesigner
Indicates that an entity is responsible for designing the entrance of a building, structure, or space.
-
D.
themeCharacteristic
chosen
Indicates that a characteristic, quality, or property is attributed to or associated with a particular theme.
-
E.
hasEntranceDecoration
Indicates that an entity features a specific decorative element or arrangement at its entrance.
- 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_69f6d6e69e388190b2d3e90b11277232 |
completed | May 3, 2026, 5:02 a.m. |
| PD | Predicate disambiguation | batch_69f6d27120988190aacec621cf2bf0e8 |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:26 a.m.