Triple
T7019605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | congregation Watchtower Study |
E162785
|
entity |
| Predicate | hasAssistantRole |
P6239
|
FINISHED |
| Object | reader |
—
|
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: reader | Statement: [congregation Watchtower Study, hasAssistantRole, reader]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAssistantRole Context triple: [congregation Watchtower Study, hasAssistantRole, reader]
-
A.
hasAuxiliaryRole
chosen
Indicates that an entity serves in a supporting or secondary capacity to another entity or primary role.
-
B.
hasNotableRoleIn
Indicates that an entity holds a significant or noteworthy role or function within another entity, event, work, or context.
-
C.
hasOrganizationalRole
Indicates that an entity holds a specific role, position, or function within an organization.
-
D.
hasSubrole
Indicates that one role functions as a more specific, subordinate, or specialized version of another broader role.
-
E.
hasCoRepresentativeRole
Indicates that an entity shares or holds a co-representative role or position alongside another entity within the same representational context.
- 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_69c6885b26248190a857541e3d10e299 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e5ecd4488190bf19e42de55da98b |
completed | March 27, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69c6e1b8118481909d76eb6616160e80 |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:34 p.m.