Triple
T3478996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Gosling |
E73444
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Scala programming language |
E71988
|
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: Scala programming language | Statement: [James Gosling, influenced, Scala programming language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scala programming language Context triple: [James Gosling, influenced, Scala programming language]
-
A.
Scala
chosen
Scala is a high-level, statically typed programming language that unifies object-oriented and functional programming paradigms and runs on the Java Virtual Machine.
-
B.
Scala Center
Scala Center is a non-profit organization at EPFL dedicated to the stewardship, education, and open-source development of the Scala programming language and its ecosystem.
-
C.
Haskell
Haskell is a statically typed, purely functional programming language known for its strong type system, lazy evaluation, and use in both academic research and industry.
-
D.
Apache Spark
Apache Spark is an open-source, distributed data processing engine designed for large-scale data analytics, machine learning, and stream processing.
-
E.
Play Framework
Play Framework is a high-velocity, stateless web application framework for Java and Scala that emphasizes developer productivity and reactive, scalable architectures.
- 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_69ad85b3c9b08190857cae74c7f36da9 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb5ca73c81908256e3339a3a6f9f |
completed | March 8, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3681b30b48190918d2821a8383229 |
completed | March 13, 2026, 1:27 a.m. |
Created at: March 8, 2026, 3:17 p.m.