Triple
T33338898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Summertime |
E853614
|
entity |
| Predicate | typicalSettingOfPlay |
P20834
|
FINISHED |
| Object | clubs |
—
|
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: clubs | Statement: [Summertime, typicalSettingOfPlay, clubs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSettingOfPlay Context triple: [Summertime, typicalSettingOfPlay, clubs]
-
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.
settingInPlot
Indicates that a particular setting or location serves as the backdrop or environment in which the events of a plot take place.
-
E.
typicalSettingConsumed
Indicates the usual context or environment in which something is normally consumed.
- 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_69f3496a1a588190bad9cbe9221144e0 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f505c88190ac0879ab422c3054 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:34 a.m.