Triple
T1369442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ochs-Sulzberger family |
E30077
|
entity |
| Predicate | businessStructure |
P5260
|
FINISHED |
| Object | family-controlled public company |
—
|
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: family-controlled public company | Statement: [Ochs-Sulzberger family, businessStructure, family-controlled public company]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: businessStructure Context triple: [Ochs-Sulzberger family, businessStructure, family-controlled public company]
-
A.
corporateStructure
chosen
Indicates how entities are organized, controlled, and related within a corporate hierarchy or ownership structure.
-
B.
businessBase
Indicates that one entity serves as the primary business foundation, core location, or main operational base for another entity.
-
C.
businessFunction
Indicates the specific role, activity, or operational function that an entity performs within a business context.
-
D.
organizationType
Indicates the specific category or classification of an organization in terms of its nature, structure, or primary function.
-
E.
employerType
Indicates the classification or category of an employer in relation to the entity (e.g., public, private, nonprofit, self-employed).
- 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_69a498f912008190a376a98b207b2071 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c2d60fdc8190a9954b74ca2b2541 |
completed | March 1, 2026, 10:51 p.m. |
| PD | Predicate disambiguation | batch_69a4befb08b88190be966fa1aadd4bcd |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:57 p.m.