Triple
T14091417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ratzinger family |
E339139
|
entity |
| Predicate | hasMemberWhoHeldOccupation |
P112780
|
FINISHED |
| Object | theologian |
—
|
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: theologian | Statement: [Ratzinger family, hasMemberWhoHeldOccupation, theologian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMemberWhoHeldOccupation Context triple: [Ratzinger family, hasMemberWhoHeldOccupation, theologian]
-
A.
hasMemberWhoServedOn
Indicates that a group or organization includes at least one member who has served on a specified body, committee, or entity.
-
B.
hasFormerStaffMember
Indicates that an entity once had a person as a staff member, but that person is no longer employed there.
-
C.
hasHumanOccupationEvidence
Indicates that there is supporting evidence that a human has held or currently holds a particular occupation or job role.
-
D.
hasListOfOfficeHolders
Indicates that an entity is associated with a collection or record enumerating the individuals who have held a particular office or position.
-
E.
hasNotableFormerMemberRole
Indicates that an entity has a role or position that was notably held by a former member of that entity.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5ee3213c8190af2853a2a5b302a2 |
completed | April 14, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_69de05b0e6c88190a819eeba0028981f |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de2398856c81908bed6070e4ca6ab1 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:21 p.m.