Triple
T32994001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Let My Puppets Come |
E844171
|
entity |
| Predicate | usesPuppetryStyle |
P92902
|
FINISHED |
| Object | marionettes |
—
|
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: marionettes | Statement: [Let My Puppets Come, usesPuppetryStyle, marionettes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesPuppetryStyle Context triple: [Let My Puppets Come, usesPuppetryStyle, marionettes]
-
A.
performedPuppetryFor
Indicates that one entity carried out a puppetry performance for the benefit, entertainment, or purpose of another entity.
-
B.
hasPuppetCharacter
chosen
Indicates that one entity features, includes, or is associated with a particular puppet character as part of its content or composition.
-
C.
scenographyStyle
Indicates the stylistic approach or design aesthetic used in the staging and visual arrangement of a scene or performance.
-
D.
hasPuppetEffectsBy
Indicates that one entity’s puppet-related effects are created, controlled, or influenced by another entity.
-
E.
hasTheatricalStyle
Indicates that one entity possesses, exhibits, or is characterized by a particular theatrical style associated with another entity.
- 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_69f3494d99988190b502c68926af2c4d |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c475c58c8190a883554231e88c88 |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 1, 2026, 1:22 a.m.