Triple
T34420150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Subdean of the College of Cardinals |
E883503
|
entity |
| Predicate | hasMemberOfRank |
P84741
|
FINISHED |
| Object | cardinal-bishop |
—
|
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: cardinal-bishop | Statement: [Subdean of the College of Cardinals, hasMemberOfRank, cardinal-bishop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMemberOfRank Context triple: [Subdean of the College of Cardinals, hasMemberOfRank, cardinal-bishop]
-
A.
admitsMemberRank
Indicates that an organization or group accepts individuals holding a specified rank or status as eligible members.
-
B.
memberHeldRank
Indicates that a member possessed or occupied a specific rank or position within an organization or hierarchy.
-
C.
hasEnlistedRank
Indicates that an individual holds an enlisted (non-officer) rank within a military or similar hierarchical organization.
-
D.
hasMembershipBy
Indicates that an entity holds or acquires membership in a group, organization, or program by means of a specified agent, process, or instrument.
-
E.
containsRank
chosen
Indicates that one entity includes or encompasses another entity that has a specific rank or hierarchical level within it.
- 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_69f349c2e3b88190a67834eb5bcffeaf |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff16775a9881909d26dbc1f0ef3e1c |
completed | May 9, 2026, 11:11 a.m. |
| PD | Predicate disambiguation | batch_69ff158e61708190a1c581d0d306cfce |
completed | May 9, 2026, 11:07 a.m. |
Created at: May 1, 2026, 2 a.m.