Triple
T20292054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Presidency |
E510050
|
entity |
| Predicate | hasMemberRank |
P47925
|
FINISHED |
| Object | apostle |
—
|
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: apostle | Statement: [First Presidency, hasMemberRank, apostle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMemberRank Context triple: [First Presidency, hasMemberRank, apostle]
-
A.
admitsMemberRank
Indicates that an organization or group accepts individuals holding a specified rank or status as eligible members.
-
B.
hasMembershipBy
Indicates that an entity holds or acquires membership in a group, organization, or program by means of a specified agent, process, or instrument.
-
C.
isRank
chosen
Indicates that one entity serves as the rank, level, or hierarchical position associated with another entity.
-
D.
hasRankCategory
Indicates that an entity is assigned to a particular rank-based classification or level within an ordered hierarchy.
-
E.
hasEnlistedRank
Indicates that an individual holds an enlisted (non-officer) rank within a military or similar hierarchical organization.
- 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_69e0b4c652388190b782cad965e5a098 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e67700c024819091205f5b0a8648e3 |
completed | April 20, 2026, 6:57 p.m. |
| PD | Predicate disambiguation | batch_69e55b21b09081909e46691b6f45a07f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 16, 2026, 11:12 a.m.