Triple
T2585505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iMac G3 |
E57187
|
entity |
| Predicate | colorVariant |
P60
|
FINISHED |
| Object |
Ruby
Ruby is a translucent deep-red color used as one of the signature case options for Apple’s original iMac G3 computers.
|
E279566
|
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: Ruby | Statement: [iMac G3, colorVariant, Ruby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruby Context triple: [iMac G3, colorVariant, Ruby]
-
A.
Ruby
Ruby is a dynamic, object-oriented programming language known for its elegant syntax and its use in the Ruby on Rails web framework.
-
B.
Ruby
Ruby is the titular woman in the country song "Ruby, Don’t Take Your Love to Town," known for contemplating leaving her disabled veteran husband for another man.
-
C.
Ruby
Ruby is a character from the children's animated television series "Dot.," which follows a young tech-savvy girl and her friends as they explore the world using technology and curiosity.
-
D.
JRuby
JRuby is a high-performance implementation of the Ruby programming language that runs on the Java Virtual Machine and integrates with Java libraries.
-
E.
Matz
Matz is the nickname of Yukihiro Matsumoto, the Japanese software engineer best known as the creator of the Ruby programming language.
- 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: Ruby Triple: [iMac G3, colorVariant, Ruby]
Generated description
Ruby is a translucent deep-red color used as one of the signature case options for Apple’s original iMac G3 computers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ruby Target entity description: Ruby is a translucent deep-red color used as one of the signature case options for Apple’s original iMac G3 computers.
-
A.
Ruby
Ruby is a dynamic, object-oriented programming language known for its elegant syntax and its use in the Ruby on Rails web framework.
-
B.
Ruby
Ruby is the titular woman in the country song "Ruby, Don’t Take Your Love to Town," known for contemplating leaving her disabled veteran husband for another man.
-
C.
Ruby
Ruby is a character from the children's animated television series "Dot.," which follows a young tech-savvy girl and her friends as they explore the world using technology and curiosity.
-
D.
JRuby
JRuby is a high-performance implementation of the Ruby programming language that runs on the Java Virtual Machine and integrates with Java libraries.
-
E.
Matz
Matz is the nickname of Yukihiro Matsumoto, the Japanese software engineer best known as the creator of the Ruby programming language.
- 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_69ab4a4dca6481908c301f8e317396e7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3cd07588190b3cb8cc348f12938 |
completed | March 7, 2026, 7:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af6581f6fc819099ea28ecbb0093d7 |
completed | March 10, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_69af67bbd6048190aaa091e6ce8cdd23 |
completed | March 10, 2026, 12:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af6839cd1c81909ef772cda4bd2f9c |
completed | March 10, 2026, 12:39 a.m. |
Created at: March 6, 2026, 9:49 p.m.