Triple
T1987577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Screen Actors Guild‐American Federation of Television and Radio Artists |
E43175
|
entity |
| Predicate | hasUnionType |
P5552
|
FINISHED |
| Object | performers’ union |
—
|
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: performers’ union | Statement: [Screen Actors Guild‐American Federation of Television and Radio Artists, hasUnionType, performers’ union]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUnionType Context triple: [Screen Actors Guild‐American Federation of Television and Radio Artists, hasUnionType, performers’ union]
-
A.
hasUnionRepresentation
Indicates that an entity is represented by a labor union in negotiations or employment-related matters.
-
B.
typeOfUnion
chosen
Indicates the specific kind or category of union relationship that exists between the related entities.
-
C.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
-
D.
introducedIntoUnionFlag
Indicates that an entity (such as a state or region) was formally admitted or incorporated into a union or larger political entity.
-
E.
hasMemberType
Indicates that an entity includes or is associated with members belonging to a specified type or category.
- 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_69a88713ddc88190a969715658ebe7a8 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8ee02dc81908fec9fd8df7a4f40 |
completed | March 7, 2026, 5:34 a.m. |
| PD | Predicate disambiguation | batch_69abb79ad6888190be99943a9c73cf3e |
completed | March 7, 2026, 5:28 a.m. |
Created at: March 4, 2026, 7:37 p.m.