Triple
T31650629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristine Holding |
E807720
|
entity |
| Predicate | hasFamilyBusinessInterestIn |
P8006
|
FINISHED |
| Object | hospitality industry |
—
|
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: hospitality industry | Statement: [Kristine Holding, hasFamilyBusinessInterestIn, hospitality industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFamilyBusinessInterestIn Context triple: [Kristine Holding, hasFamilyBusinessInterestIn, hospitality industry]
-
A.
hasFamilyBusinessIn
Indicates that an entity owns, operates, or is significantly involved in a family-run business located in a specified place.
-
B.
relatedFamilyBusiness
chosen
Indicates that there is a connection between entities through ownership, management, or involvement in the same family-run business or businesses.
-
C.
hasParentCompanyBusiness
Indicates that one company operates as a business owned or controlled by another company that serves as its parent company.
-
D.
hasBusinessIn
Indicates that one entity conducts, operates, or maintains business activities within the jurisdiction, location, or domain of another entity.
-
E.
hasEconomicInterest
Indicates that one entity stands to gain or lose financially or materially from the performance, decisions, or outcomes associated with another entity.
- 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_69f348daf95c81908b4c985b7ddcd0b3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fcef654d588190b29ecc76678d1aa0 |
completed | May 7, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69fcecdb97f48190b382b7d13be92dc0 |
completed | May 7, 2026, 7:49 p.m. |
Created at: April 30, 2026, 10:53 p.m.