Triple
T21907752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LORT-Equity collective bargaining agreement |
E540982
|
entity |
| Predicate | typeOfWorkCovered |
P86785
|
FINISHED |
| Object | professional stage acting |
—
|
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: professional stage acting | Statement: [LORT-Equity collective bargaining agreement, typeOfWorkCovered, professional stage acting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfWorkCovered Context triple: [LORT-Equity collective bargaining agreement, typeOfWorkCovered, professional stage acting]
-
A.
typeOfWork
Indicates the kind or category of work associated with or performed by an entity.
-
B.
workCovered
Indicates that one work or effort is included within the scope, protection, or responsibility defined by another entity or arrangement.
-
C.
workCoverage
Indicates that one entity’s work or responsibilities extend to, include, or provide coverage for another entity, area, or time period.
-
D.
fieldOfWork
Indicates the professional or academic domain in which an entity is primarily engaged or specializes.
-
E.
associatedWorkType
chosen
Indicates the type or category of work with which an entity is associated (e.g., publication, artwork, performance).
- 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f121d806688190b23502aacbfde4bd |
completed | April 28, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_69e6be9ebf4c8190892df1a8e1313f88 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 7:39 p.m.