Triple
T8649027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | water puppet theatre |
E205051
|
entity |
| Predicate | typicalStageSetting |
P20834
|
FINISHED |
| Object | pool of 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: pool of water | Statement: [water puppet theatre, typicalStageSetting, pool of water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalStageSetting Context triple: [water puppet theatre, typicalStageSetting, pool of water]
-
A.
theatricalSetting
Indicates the spatial or contextual environment in which a theatrical performance or dramatic action takes place.
-
B.
placeOfSetting
chosen
Indicates the location or environment where an event, scene, or situation takes place.
-
C.
portrayedInSetting
Indicates that an entity is depicted or represented within a particular setting, environment, or context.
-
D.
setsStageFor
Indicates that one event, condition, or action creates the necessary circumstances or groundwork for another to occur.
-
E.
stage
Indicates that an entity organizes, presents, or performs another entity (such as an event, show, or action) as a staged occurrence.
- 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.