Triple
T15910328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaplan, Inc. |
E385830
|
entity |
| Predicate | subsidiary |
P258
|
FINISHED |
| Object | Kaplan Professional |
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 Professional | Statement: [Kaplan, Inc., subsidiary, Kaplan Professional]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaplan Professional Context triple: [Kaplan, Inc., subsidiary, Kaplan Professional]
-
A.
Kaplan
Kaplan is a surname most notably associated with Mordecai Kaplan, an influential 20th-century rabbi and theologian who founded Reconstructionist Judaism.
-
B.
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.
-
C.
Kaplan, Inc.
chosen
Kaplan, Inc. is a global educational services company best known for its test preparation, professional training, and higher education programs.
-
D.
Becker Professional Education
Becker Professional Education is a leading provider of professional exam preparation and continuing education programs, best known for its CPA exam review courses.
-
E.
Macmillan Learning
Macmillan Learning is an educational publishing and technology company that develops textbooks, digital learning tools, and course solutions for higher education and K–12 markets.
- 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_69ffb05750ac81908860143f4ca26cc7 |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:52 a.m.