Triple
T8118265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Digital Research, Inc. |
E189534
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
GEM Draw
GEM Draw is a vector-based drawing and illustration program developed for the GEM (Graphical Environment Manager) desktop environment by Digital Research in the 1980s.
|
E713574
|
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: GEM Draw | Statement: [Digital Research, Inc., notableWork, GEM Draw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GEM Draw Context triple: [Digital Research, Inc., notableWork, GEM Draw]
-
A.
GEM
GEM is the Growth Enterprise Market board of the Hong Kong Stock Exchange, designed for smaller, high-growth and emerging companies to raise capital.
-
B.
GEM 63XL
The GEM 63XL is a solid rocket booster developed by Northrop Grumman to provide additional thrust for United Launch Alliance’s next-generation Vulcan launch vehicle.
-
C.
GEML
GEML is the ICAO airport code assigned to Melilla Airport in the Spanish autonomous city of Melilla.
-
D.
StarDraw
StarDraw is a vector graphics and diagramming application that was part of the StarOffice productivity suite.
-
E.
Gemer
Gemer is a historical and geographical region in southern Slovakia known for its mining heritage, medieval castles, and karst landscapes.
- 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: GEM Draw Triple: [Digital Research, Inc., notableWork, GEM Draw]
Generated description
GEM Draw is a vector-based drawing and illustration program developed for the GEM (Graphical Environment Manager) desktop environment by Digital Research in the 1980s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GEM Draw Target entity description: GEM Draw is a vector-based drawing and illustration program developed for the GEM (Graphical Environment Manager) desktop environment by Digital Research in the 1980s.
-
A.
GEM
GEM is the Growth Enterprise Market board of the Hong Kong Stock Exchange, designed for smaller, high-growth and emerging companies to raise capital.
-
B.
GEM 63XL
The GEM 63XL is a solid rocket booster developed by Northrop Grumman to provide additional thrust for United Launch Alliance’s next-generation Vulcan launch vehicle.
-
C.
GEML
GEML is the ICAO airport code assigned to Melilla Airport in the Spanish autonomous city of Melilla.
-
D.
StarDraw
StarDraw is a vector graphics and diagramming application that was part of the StarOffice productivity suite.
-
E.
Gemer
Gemer is a historical and geographical region in southern Slovakia known for its mining heritage, medieval castles, and karst landscapes.
- 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_69ca82baad008190ab2859712b9b1607 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4358e1688190940b98114225113b |
completed | March 31, 2026, 3:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc944439488190b95788e3a77ee732 |
completed | April 1, 2026, 3:43 a.m. |
| NEDg | Description generation | batch_69cc95c0b19881908521cce5ac0fe197 |
completed | April 1, 2026, 3:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc96fa03d881909a1eeed6af9a3149 |
completed | April 1, 2026, 3:54 a.m. |
Created at: March 30, 2026, 5:33 p.m.