Triple
T15910541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graham Holdings Company |
E385835
|
entity |
| Predicate | hasBusinessDivision |
P7588
|
FINISHED |
| Object | Kaplan, Inc. |
E385830
|
NE 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: Kaplan, Inc. | Statement: [Graham Holdings Company, hasBusinessDivision, Kaplan, Inc.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaplan, Inc. Context triple: [Graham Holdings Company, hasBusinessDivision, Kaplan, Inc.]
-
A.
Kaplan, Inc.
chosen
Kaplan, Inc. is a global educational services company best known for its test preparation, professional training, and higher education programs.
-
B.
Kaplan
Kaplan is a surname most notably associated with Mordecai Kaplan, an influential 20th-century rabbi and theologian who founded Reconstructionist Judaism.
-
C.
Kaplan
Kaplan is a type of adjustable-blade water turbine commonly used in low-head hydroelectric power plants to efficiently generate electricity from flowing water.
-
D.
Kaplan University
Kaplan University was a former U.S.-based for-profit online and campus-based higher education institution offering associate, bachelor’s, and graduate degree programs to working adults.
-
E.
Capco
Capco is a global management and technology consultancy specializing in the financial services industry.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1565ea7a8819097efffda366b5245 |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3bb7d608190babbea74a9ca9f4c |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:52 a.m.