Triple
T17922971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JMSB |
E448117
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object | Department of Marketing |
—
|
NE NERFINISHED |
How this triple was built (3 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: Department of Marketing | Statement: [JMSB, hasDepartment, Department of Marketing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Marketing Context triple: [JMSB, hasDepartment, Department of Marketing]
-
A.
Department of Marketing
The Department of Marketing at the USC Marshall School of Business is an academic unit focused on research and education in marketing strategy, consumer behavior, and related business disciplines.
-
B.
Department of Marketing
The Department of Marketing is an academic unit within The Chinese University of Hong Kong’s Faculty of Business Administration that focuses on education and research in marketing and related business disciplines.
-
C.
Department of Marketing
The Department of Marketing is an academic unit specializing in marketing education and research within Kuwait University's College of Business Administration.
-
D.
Department of Marketing
The Department of Marketing is an academic unit that focuses on teaching and research in areas such as consumer behavior, market strategy, and brand management within the School of Management at Binghamton University.
-
E.
Department of Marketing
The Department of Marketing is an academic unit at the Institute of Management, Nirma University, focused on teaching and research in marketing and related business disciplines.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Marketing Target entity description: The Department of Marketing is an academic unit within the John Molson School of Business that focuses on teaching and research in areas such as consumer behavior, branding, and strategic marketing.
-
A.
Department of Marketing
The Department of Marketing is an academic unit within the Lazaridis School of Business and Economics that focuses on teaching and research in areas such as consumer behavior, branding, and strategic marketing.
-
B.
Department of Marketing
The Department of Marketing is an academic unit within the College of Business and Economics that focuses on teaching and research in areas such as consumer behavior, market strategy, branding, and digital marketing.
-
C.
Department of Marketing
The Department of Marketing is an academic unit within the Isenberg School of Management that focuses on teaching and research in areas such as consumer behavior, branding, market research, and strategic marketing.
-
D.
Department of Marketing
The Department of Marketing is an academic unit within the Robert H. Smith School of Business that focuses on teaching and research in areas such as consumer behavior, branding, market strategy, and analytics.
-
E.
Department of Marketing
The Department of Marketing is an academic unit within Monash University's Faculty of Business and Economics that focuses on teaching and research in marketing strategy, consumer behavior, and related business disciplines.
- F. None of above. chosen
Provenance (2 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a30bde508190bc529ccae81f0e2a |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 10:20 a.m.