Triple
T2968895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C. K. Ogden |
E80232
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object |
Basic English
Basic English is a simplified form of the English language that uses a restricted core vocabulary to make learning and international communication easier.
|
E314221
|
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: Basic English | Statement: [C. K. Ogden, knownFor, Basic English]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Basic English Context triple: [C. K. Ogden, knownFor, Basic English]
-
A.
Basic Latin
Basic Latin is the foundational Unicode block that encodes the standard English letters, digits, and common punctuation used in most Western text.
-
B.
Basic
Basic is a discount cigarette brand produced and marketed by Philip Morris USA.
-
C.
Standard English
Standard English is the widely accepted, codified form of the English language used in formal writing, education, and public communication across English-speaking countries.
-
D.
BASIC
BASIC is a family of high-level, beginner-friendly programming languages originally designed to make computer programming more accessible to non-experts.
-
E.
Home Basic
Home Basic is an entry-level edition of the Windows Vista operating system designed for basic home computing needs with limited multimedia and advanced features.
- 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: Basic English Triple: [C. K. Ogden, knownFor, Basic English]
Generated description
Basic English is a simplified form of the English language that uses a restricted core vocabulary to make learning and international communication easier.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Basic English Target entity description: Basic English is a simplified form of the English language that uses a restricted core vocabulary to make learning and international communication easier.
-
A.
Basic Latin
Basic Latin is the foundational Unicode block that encodes the standard English letters, digits, and common punctuation used in most Western text.
-
B.
Basic
Basic is a discount cigarette brand produced and marketed by Philip Morris USA.
-
C.
Standard English
Standard English is the widely accepted, codified form of the English language used in formal writing, education, and public communication across English-speaking countries.
-
D.
BASIC
BASIC is a family of high-level, beginner-friendly programming languages originally designed to make computer programming more accessible to non-experts.
-
E.
Home Basic
Home Basic is an entry-level edition of the Windows Vista operating system designed for basic home computing needs with limited multimedia and advanced features.
- 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_69ad8b14ffe881908ffed62f9595c867 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9970e2c08190affa5efedb9aad75 |
completed | March 8, 2026, 3:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0fca2e5048190a3659de827ee7da9 |
completed | March 11, 2026, 5:24 a.m. |
| NEDg | Description generation | batch_69b1006c3ee48190b17b8216a8b700c9 |
completed | March 11, 2026, 5:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b100dd4f108190b39926534096d6c7 |
completed | March 11, 2026, 5:42 a.m. |
Created at: March 8, 2026, 2:58 p.m.