Triple
T9627304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roy Moore |
E232500
|
entity |
| Predicate | suspendedFromOffice |
P38380
|
FINISHED |
| Object | 2016 |
—
|
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: 2016 | Statement: [Roy Moore, suspendedFromOffice, 2016]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: suspendedFromOffice Context triple: [Roy Moore, suspendedFromOffice, 2016]
-
A.
suspendedFrom
Indicates that one entity is hanging or held up in the air by being attached to another supporting entity.
-
B.
succeedsFromOffice
Indicates that one officeholder directly follows another in holding the same office or position.
-
C.
suspendedBy
Indicates that one entity has temporarily halted, removed, or placed another entity in an inactive or pending state, typically as an enforcement or administrative action.
-
D.
suspensionDate
chosen
Indicates the date on which an entity’s normal status, operation, or privileges are formally suspended.
-
E.
removedFromPublicDuties
Indicates that an entity has been taken out of roles or responsibilities that involve serving or representing the public.
- 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_69ca848793ec8190a93a12383a754dc0 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9afeb64c8190be91024c2e9039d3 |
completed | April 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69ccd5acfa5c8190aaba3cf548723604 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:10 p.m.