Triple
T32923247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rigdonite Church of Christ |
E842198
|
entity |
| Predicate | honorsFounderFigure |
P75580
|
FINISHED |
| Object | Sidney Rigdon |
—
|
NE NERFINISHED |
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: Sidney Rigdon | Statement: [Rigdonite Church of Christ, honorsFounderFigure, Sidney Rigdon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honorsFounderFigure Context triple: [Rigdonite Church of Christ, honorsFounderFigure, Sidney Rigdon]
-
A.
foundedInHonorOf
Indicates that something (such as an organization, place, or event) was established specifically to commemorate or pay tribute to a particular person, group, or entity.
-
B.
honorsPerson
chosen
Indicates that one entity formally recognizes, respects, or pays tribute to a specific person.
-
C.
honorsTeacherOfFounder
Indicates that one entity pays respect or tribute to the teacher or mentor of another entity’s founder.
-
D.
honoredPerson
Indicates that a person is the recipient of honor, recognition, or special distinction from another party or in a particular context.
-
E.
isFoundingFigureOf
Indicates that a person played a primary, originating role in establishing or creating an organization, movement, institution, or similar entity.
- 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_69f3494779388190a5d3e97f92278be2 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
Created at: May 1, 2026, 1:20 a.m.