Triple
T34804357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kathleen Kelly |
E1003308
|
entity |
| Predicate | parentOwnedBusinessBeforeHer |
P195250
|
FINISHED |
| Object | Kathleen's mother |
—
|
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: Kathleen's mother | Statement: [Kathleen Kelly, parentOwnedBusinessBeforeHer, Kathleen's mother]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentOwnedBusinessBeforeHer Context triple: [Kathleen Kelly, parentOwnedBusinessBeforeHer, Kathleen's mother]
-
A.
hasFamilyBusinessIn
Indicates that an entity owns, operates, or is significantly involved in a family-run business located in a specified place.
-
B.
hasFormerBusiness
Indicates that an entity previously had a business relationship or partnership with another entity, but that relationship is no longer current.
-
C.
privateOwnership
Indicates that a specified entity holds legal ownership or control over something in a private, non-public capacity.
-
D.
formerPartOwnerOf
Indicates that an entity previously held, but no longer holds, a partial ownership stake in another entity.
-
E.
partnerBeforeMarriage
Indicates that one entity was the romantic or life partner of another entity prior to their marriage.
- 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_69f76db600b88190989abdf08fce3b27 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fdb31800508190beec15adb9bbd292 |
completed | May 8, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69fdb19c381c8190bafb2f565da097f1 |
completed | May 8, 2026, 9:49 a.m. |
| PDg | Predicate description generation | batch_69fdb3172b808190b590d7c5be31ebb7 |
completed | May 8, 2026, 9:55 a.m. |
Created at: May 3, 2026, 3:59 p.m.