Triple
T1531318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Design Patterns: Elements of Reusable Object-Oriented Software |
E32448
|
entity |
| Predicate | describesPattern |
P8151
|
FINISHED |
| Object |
Adapter
Adapter is a structural design pattern that allows incompatible interfaces to work together by converting the interface of one class into an interface expected by clients.
|
E173608
|
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: Adapter | Statement: [Design Patterns: Elements of Reusable Object-Oriented Software, describesPattern, Adapter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adapter Context triple: [Design Patterns: Elements of Reusable Object-Oriented Software, describesPattern, Adapter]
-
A.
Appar
Appar was a prominent 7th-century Tamil Shaivite saint and poet whose devotional hymns greatly shaped the Bhakti movement in South India.
-
B.
MHL
MHL is the three-letter ISO 3166-1 alpha-3 country code representing the Republic of the Marshall Islands.
-
C.
MHL
MHL is the commonly used abbreviation for the International Hockey League, a professional ice hockey organization.
-
D.
AAPT
AAPT is a professional organization dedicated to advancing the teaching and learning of physics at all educational levels.
-
E.
ADB
ADB is a regional multilateral development bank that promotes economic growth and cooperation in Asia and the Pacific through loans, grants, and technical assistance.
- 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: Adapter Triple: [Design Patterns: Elements of Reusable Object-Oriented Software, describesPattern, Adapter]
Generated description
Adapter is a structural design pattern that allows incompatible interfaces to work together by converting the interface of one class into an interface expected by clients.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Adapter Target entity description: Adapter is a structural design pattern that allows incompatible interfaces to work together by converting the interface of one class into an interface expected by clients.
-
A.
Appar
Appar was a prominent 7th-century Tamil Shaivite saint and poet whose devotional hymns greatly shaped the Bhakti movement in South India.
-
B.
MHL
MHL is the three-letter ISO 3166-1 alpha-3 country code representing the Republic of the Marshall Islands.
-
C.
MHL
MHL is the commonly used abbreviation for the International Hockey League, a professional ice hockey organization.
-
D.
AAPT
AAPT is a professional organization dedicated to advancing the teaching and learning of physics at all educational levels.
-
E.
ADB
ADB is a regional multilateral development bank that promotes economic growth and cooperation in Asia and the Pacific through loans, grants, and technical assistance.
- 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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa61dc6ab881908b22aa7a5295bf21 |
completed | March 6, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad2957e6e4819087504a16bc32d60b |
completed | March 8, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69ad2a18a79c81908f04ba9aa55d52a0 |
completed | March 8, 2026, 7:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad2a8deae8819095731fdd1b4bd310 |
completed | March 8, 2026, 7:51 a.m. |
Created at: March 4, 2026, 7:26 p.m.