Triple
T4810948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giselle |
E107066
|
entity |
| Predicate | act1Setting |
P12690
|
FINISHED |
| Object | rustic Rhineland village |
—
|
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: rustic Rhineland village | Statement: [Giselle, act1Setting, rustic Rhineland village]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: act1Setting Context triple: [Giselle, act1Setting, rustic Rhineland village]
-
A.
setting
Indicates the place, time, or context in which an event, action, or interaction occurs.
-
B.
actStructure
Indicates a structural or organizational relationship that defines how an action or activity is arranged, composed, or internally organized.
-
C.
settingOfActivities
Indicates that a particular place or context serves as the environment in which certain activities occur or are carried out.
-
D.
fromAct
Indicates that an entity originates from, is produced by, or results from a specified action or event.
-
E.
theatricalSetting
chosen
Indicates the spatial or contextual environment in which a theatrical performance or dramatic action takes place.
- 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_69bd43f779448190b92885cb70abb6c2 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ff981fc819080d4466c6fe06cf3 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c1c43a48190a65e56b1624a2339 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:23 p.m.