Triple
T28352911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Property Cycle |
E718146
|
entity |
| Predicate | associatedWithOccupationOfKeyPerson |
P83547
|
FINISHED |
| Object | businessman |
—
|
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: businessman | Statement: [The Property Cycle, associatedWithOccupationOfKeyPerson, businessman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithOccupationOfKeyPerson Context triple: [The Property Cycle, associatedWithOccupationOfKeyPerson, businessman]
-
A.
occupationOfAssociatedPerson
chosen
Indicates the job or professional role held by a person who is associated with another referenced entity.
-
B.
associatedWithCareerOf
Indicates a relationship where something is connected or relevant to a person’s professional life, occupation, or career trajectory.
-
C.
occupationalAssociation
Indicates a relationship where one entity is connected to another through a job, profession, or work-related role.
-
D.
leaderAssociatedWith
Indicates a relationship where a leader is connected or affiliated with a particular entity, such as an organization, group, or cause.
-
E.
associatedWorkKey
Indicates that there is a connection or linkage between one work and another related work, typically identifying the related work by a key or identifier.
- 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_69eff6ec27b481908c8d7b86c47893d9 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_6a013b78bde881909a082beced4e0157 |
completed | May 11, 2026, 2:14 a.m. |
| PD | Predicate disambiguation | batch_6a013acf45508190a999b208066072bd |
completed | May 11, 2026, 2:11 a.m. |
Created at: April 28, 2026, 12:47 a.m.