Triple
T285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Douglas Engelbart |
E5
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | NLS |
E25
|
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: NLS | Statement: [Douglas Engelbart, notableWork, NLS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NLS Context triple: [Douglas Engelbart, notableWork, NLS]
-
A.
oN-Line System
chosen
The oN-Line System (NLS) was an early, pioneering computer system that introduced many foundational concepts of modern computing, including the mouse, hypertext, and interactive graphical user interfaces.
-
B.
Tim the Beaver
Tim the Beaver is the official mascot of the Massachusetts Institute of Technology, symbolizing the school’s emphasis on engineering, ingenuity, and industriousness.
-
C.
Mens et Manus
Mens et Manus is the Latin motto of the Massachusetts Institute of Technology, expressing the union of mind and hand in the pursuit of knowledge and practical application.
-
D.
New York City
New York City is the largest city in the United States, a global center of finance, culture, media, and technology.
-
E.
Washington, D.C.
Washington, D.C. is the capital city of the United States, serving as the nation’s political center and home to its federal government institutions.
- 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_69a222a954e48190b48f126a67485661 |
completed | Feb. 27, 2026, 11:03 p.m. |
| NER | Named-entity recognition | batch_69a222fb8de081909985a8ceba17a89e |
completed | Feb. 27, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a23296d6a881908dbf9acacf9fb94f |
completed | Feb. 28, 2026, 12:11 a.m. |
Created at: Feb. 27, 2026, 11:04 p.m.