Triple
T32922554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smith family |
E842181
|
entity |
| Predicate | hasProphetPresident |
P203167
|
FINISHED |
| Object | Joseph Smith |
—
|
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: Joseph Smith | Statement: [Smith family, hasProphetPresident, Joseph Smith]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProphetPresident Context triple: [Smith family, hasProphetPresident, Joseph Smith]
-
A.
hasPresident
Indicates that an entity holds the position or role of president for another entity.
-
B.
followsPresidenciesOf
Indicates that one presidency occurs after and succeeds the presidencies of another person or group of persons.
-
C.
hasPresidentBeforeElection
Indicates that an entity already has a designated or acting president prior to a specified election event.
-
D.
hasPropheticWarner
Indicates that an entity has been sent or provided with a prophetic figure who warns it about future consequences or divine judgment.
-
E.
hasFormerMemberWhoBecamePresident
Indicates that an entity has at least one former member who later became a president.
- F. None of above. chosen
Provenance (4 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_6a01302a80ec8190a27692f09ac38a80 |
completed | May 11, 2026, 1:26 a.m. |
| PD | Predicate disambiguation | batch_6a012fad62308190a53f8b4a071eb245 |
completed | May 11, 2026, 1:23 a.m. |
| PDg | Predicate description generation | batch_6a013029b3a48190884d661f6c622cad |
completed | May 11, 2026, 1:26 a.m. |
Created at: May 1, 2026, 1:19 a.m.