Triple
T352757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MIT Stata Center |
E7477
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Ray Stata
Ray Stata is an American engineer, entrepreneur, and co-founder of Analog Devices, known for his leadership in the semiconductor industry and philanthropy in engineering education.
|
E44619
|
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: Ray Stata | Statement: [MIT Stata Center, namedAfter, Ray Stata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ray Stata Context triple: [MIT Stata Center, namedAfter, Ray Stata]
-
A.
Ray
Ray is a masculine given name commonly used in English-speaking countries, often as a short form of Raymond.
-
B.
Ryan
Ryan is a masculine given name of Irish origin that is widely used in English-speaking countries.
-
C.
Mike Starr
Mike Starr is an American character actor known for his imposing presence and frequent roles as tough guys or mobsters in films and television.
-
D.
Steven
Steven is the birth name of Steve Jobs, the influential co-founder and longtime leader of Apple Inc.
-
E.
Roderic Dallas
Roderic Dallas was a distinguished Australian fighter ace of World War I who became one of the leading pilots in British naval aviation.
- 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: Ray Stata Triple: [MIT Stata Center, namedAfter, Ray Stata]
Generated description
Ray Stata is an American engineer, entrepreneur, and co-founder of Analog Devices, known for his leadership in the semiconductor industry and philanthropy in engineering education.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ray Stata Target entity description: Ray Stata is an American engineer, entrepreneur, and co-founder of Analog Devices, known for his leadership in the semiconductor industry and philanthropy in engineering education.
-
A.
Ray
Ray is a masculine given name commonly used in English-speaking countries, often as a short form of Raymond.
-
B.
Ryan
Ryan is a masculine given name of Irish origin that is widely used in English-speaking countries.
-
C.
Mike Starr
Mike Starr is an American character actor known for his imposing presence and frequent roles as tough guys or mobsters in films and television.
-
D.
Steven
Steven is the birth name of Steve Jobs, the influential co-founder and longtime leader of Apple Inc.
-
E.
Roderic Dallas
Roderic Dallas was a distinguished Australian fighter ace of World War I who became one of the leading pilots in British naval aviation.
- 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_69a2e7e696948190bebc966535995e45 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eb7f1be88190964ddcbb6a05f021 |
completed | Feb. 28, 2026, 1:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3dd353b488190b6ed966290260806 |
completed | March 1, 2026, 6:31 a.m. |
| NEDg | Description generation | batch_69a3ddbbe7e08190ac167e158d19dbce |
completed | March 1, 2026, 6:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3de3fef7c819082193eb7083175e1 |
completed | March 1, 2026, 6:35 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.