Triple
T143363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harold T. Shapiro |
E2899
|
entity |
| Predicate | boardMemberOf |
P10
|
FINISHED |
| Object |
DeVry Inc.
DeVry Inc. is a for-profit higher education company in the United States that operates DeVry University and related educational institutions.
|
E16833
|
NE FINISHED |
How this triple was built (4 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: DeVry Inc. | Statement: [Harold T. Shapiro, boardMemberOf, DeVry Inc.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DeVry Inc. Context triple: [Harold T. Shapiro, boardMemberOf, DeVry Inc.]
-
A.
NCR Corporation
NCR Corporation is a global technology company best known for its point-of-sale systems, ATMs, and other financial and retail transaction solutions.
-
B.
Groupe ADP
Groupe ADP is a major French airport management company that owns and operates the Paris-area airports and provides aviation and related services worldwide.
-
C.
Cox Enterprises
Cox Enterprises is a major U.S. privately held media, communications, and automotive services conglomerate.
-
D.
IBM
IBM is a multinational technology and consulting company known for its pioneering work in computer hardware, software, and enterprise services.
-
E.
Meredith Corporation
Meredith Corporation was a major American media and marketing company best known for its portfolio of lifestyle magazines and television broadcasting assets.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: DeVry Inc. Triple: [Harold T. Shapiro, boardMemberOf, DeVry Inc.]
Generated description
DeVry Inc. is a for-profit higher education company in the United States that operates DeVry University and related educational institutions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DeVry Inc. Target entity description: DeVry Inc. is a for-profit higher education company in the United States that operates DeVry University and related educational institutions.
-
A.
NCR Corporation
NCR Corporation is a global technology company best known for its point-of-sale systems, ATMs, and other financial and retail transaction solutions.
-
B.
Groupe ADP
Groupe ADP is a major French airport management company that owns and operates the Paris-area airports and provides aviation and related services worldwide.
-
C.
Cox Enterprises
Cox Enterprises is a major U.S. privately held media, communications, and automotive services conglomerate.
-
D.
IBM
IBM is a multinational technology and consulting company known for its pioneering work in computer hardware, software, and enterprise services.
-
E.
Meredith Corporation
Meredith Corporation was a major American media and marketing company best known for its portfolio of lifestyle magazines and television broadcasting assets.
- F. None of above. chosen
Provenance (5 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_69a2521e35c08190b28e5c9f1e3c9b59 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257caf678819092e975d5167f9df4 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2b860df1481909d6d64ac45dd6eae |
completed | Feb. 28, 2026, 9:41 a.m. |
| NEDg | Description generation | batch_69a2baa4ac048190957929b92e106233 |
completed | Feb. 28, 2026, 9:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2bb038c648190a53442cedfa26ec0 |
completed | Feb. 28, 2026, 9:53 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.