Triple
T27762633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stella Kipps |
E701507
|
entity |
| Predicate | closeFamilyMemberOf |
P171671
|
FINISHED |
| Object | Arthur Kipps |
—
|
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: Arthur Kipps | Statement: [Stella Kipps, closeFamilyMemberOf, Arthur Kipps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closeFamilyMemberOf Context triple: [Stella Kipps, closeFamilyMemberOf, Arthur Kipps]
-
A.
immediateFamilyMemberOf
chosen
Indicates a close familial relationship where one person is a direct or closely related family member (such as parent, child, sibling, or spouse) of another.
-
B.
coveredFamilyMember
Indicates that one person is included as an eligible dependent or beneficiary under another person’s insurance or benefit coverage.
-
C.
familyConnectionTo
Indicates a familial relationship or bond that exists between two entities, such as by blood, marriage, or adoption.
-
D.
closestLivingRelatives
Indicates that the related entities are the most closely related to each other among all currently living entities, in terms of evolutionary or genealogical proximity.
-
E.
familyAssociationWith
Indicates a familial relationship or connection exists between the referenced entities.
- 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_69ef6a5193808190816eb7d0020b2d87 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6a8df16a88190a23820e64a3b1f92 |
completed | May 3, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 27, 2026, 4:28 p.m.