Triple
T36326294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British theatre community |
E894486
|
entity |
| Predicate | includesPractitioners |
P202208
|
FINISHED |
| Object | actors |
—
|
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: actors | Statement: [British theatre community, includesPractitioners, actors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesPractitioners Context triple: [British theatre community, includesPractitioners, actors]
-
A.
hasPractitioners
chosen
Indicates that an entity is associated with one or more individuals who actively practice, perform, or apply it.
-
B.
primaryPractitioners
Indicates the entities that are the main or most directly responsible practitioners of a given activity, field, or practice in relation to another entity.
-
C.
practitionerType
Indicates the specific category or role of practitioner associated with an entity (e.g., doctor, nurse, therapist).
-
D.
representsPractitionersBefore
Indicates that one party acts on behalf of or advocates for practitioners in a formal or official context.
-
E.
linksPractitionerTo
Indicates a relationship that connects or associates a practitioner with another relevant entity (such as a person, organization, or resource).
- 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_69f76e4dcf088190a6c3216c209cab52 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0a54cc8190868c1bfa1590d1a6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:09 p.m.