Triple
T9390877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smooth Criminal |
E226021
|
entity |
| Predicate | hasDanceMove |
P88673
|
FINISHED |
| Object | anti-gravity lean |
—
|
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: anti-gravity lean | Statement: [Smooth Criminal, hasDanceMove, anti-gravity lean]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDanceMove Context triple: [Smooth Criminal, hasDanceMove, anti-gravity lean]
-
A.
hasDanceSequences
Indicates that the subject contains or features one or more dance sequences as part of its content or activity.
-
B.
hasDanceAssociation
Indicates that there is a relationship or affiliation between an entity and a dance-related organization, group, or activity.
-
C.
hasDanceChoreography
Indicates that an entity is associated with or characterized by a specific dance choreography.
-
D.
hasDanceSceneWith
Indicates that two entities participate together in a dance scene within the same context or work.
-
E.
hasDanceQuality
Indicates that something possesses a particular characteristic or attribute related to dance, such as style, skill, or expressive quality.
- 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_69ca842f7e3481908bf5bcf52e032dbd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd510d7a9c8190a74ccdb5478dedc9 |
completed | April 1, 2026, 5:08 p.m. |
| PD | Predicate disambiguation | batch_69cca53bd6ec81909bf403ce304e5c08 |
completed | April 1, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69cca89b3368819087a3d69270c1f185 |
completed | April 1, 2026, 5:09 a.m. |
Created at: March 30, 2026, 7:45 p.m.