Triple
T34429631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Enda's School |
E883789
|
entity |
| Predicate | emphasizedActivity |
P40655
|
FINISHED |
| Object | drama |
—
|
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: drama | Statement: [St Enda's School, emphasizedActivity, drama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emphasizedActivity Context triple: [St Enda's School, emphasizedActivity, drama]
-
A.
activityFocus
Indicates that an activity is primarily directed toward, centered on, or concerned with a particular object, topic, or goal.
-
B.
majorActivity
chosen
Indicates that the related entity performs, participates in, or is primarily associated with a main or most significant activity.
-
C.
notableActivityIn
Indicates that an entity is particularly recognized for performing a significant activity within a specified place, context, or domain.
-
D.
earnActivity
Indicates that an entity gains or receives something of value (such as money, points, or rewards) as a result of performing a particular activity.
-
E.
targetedActivity
Indicates that an activity is specifically directed or focused toward a particular entity, group, or objective.
- 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_69f349c3dd2c819092cc9e64809f4a42 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71947ad88819082ab9d85dd493b01 |
completed | May 3, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_69f71824431081908d9685d2462ea242 |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 2 a.m.