Triple
T28231569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Private: The Chicago Story |
E711756
|
entity |
| Predicate | hasMainOrganizationRole |
P197950
|
FINISHED |
| Object | private detective agency |
—
|
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: private detective agency | Statement: [Private: The Chicago Story, hasMainOrganizationRole, private detective agency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainOrganizationRole Context triple: [Private: The Chicago Story, hasMainOrganizationRole, private detective agency]
-
A.
hasOrganizationalRole
Indicates that an entity holds a specific role, position, or function within an organization.
-
B.
hasPositionInOrganization
Indicates that an entity holds a specific role, job, or position within a particular organization.
-
C.
hasOrganizationFor
Indicates that one entity possesses, is associated with, or is responsible for a particular organization in relation to some context or purpose.
-
D.
parentOrganizationRole
Indicates that an organization holds a specific role or position within a larger parent organization.
-
E.
appearsInOrganization
Indicates that an entity is present, featured, or participates within a particular organization.
- 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_69efb51ece308190b8c269a057e36652 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69febce5877c8190a5e000ef5331ec88 |
completed | May 9, 2026, 4:49 a.m. |
| PD | Predicate disambiguation | batch_69febad1cd588190abc7686bcb39a371 |
completed | May 9, 2026, 4:40 a.m. |
| PDg | Predicate description generation | batch_69febce420b081908e1c052751a22b1f |
completed | May 9, 2026, 4:49 a.m. |
Created at: April 27, 2026, 10:52 p.m.