Triple
T8649050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | water puppet theatre |
E205051
|
entity |
| Predicate | hasSoundEffect |
P47507
|
FINISHED |
| Object | splashing water |
—
|
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: splashing water | Statement: [water puppet theatre, hasSoundEffect, splashing water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSoundEffect Context triple: [water puppet theatre, hasSoundEffect, splashing water]
-
A.
hasSound
Indicates that an entity produces, emits, or is associated with a particular sound.
-
B.
hasSoundSystem
Indicates that an entity is equipped with or includes a sound system as one of its features.
-
C.
hasPartialSound
Indicates that one entity’s sound is included as a component or segment within the sound of another entity.
-
D.
soundEffects
chosen
Indicates that one entity produces, contains, or is associated with sound effects used to accompany or enhance another entity.
-
E.
hasHeavierSoundThan
Indicates that one entity produces or is associated with a sound that is sonically heavier, more intense, or more forceful than that of 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_69ca834e56848190abb0eeaec9dedd32 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4812b7bc8190acb40da57cad293a |
completed | March 31, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69cc45619460819091e83ffdec99c865 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:29 p.m.