Triple
T1082735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TI-BASIC |
E23982
|
entity |
| Predicate | influencedBy |
P9
|
FINISHED |
| Object | BASIC |
E50813
|
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: BASIC | Statement: [TI-BASIC, influencedBy, BASIC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BASIC Context triple: [TI-BASIC, influencedBy, BASIC]
-
A.
BASIC
chosen
BASIC is a family of high-level, beginner-friendly programming languages originally designed to make computer programming more accessible to non-experts.
-
B.
Perus
Perus is the commonly used Finnish abbreviation for the Finns Party, a right-wing populist and nationalist political party in Finland.
-
C.
Foundation
Foundation is a landmark science fiction novel by Isaac Asimov that launched his influential series about the rise and fall of a galactic empire and the science of psychohistory.
-
D.
Base
Base is Julia’s core standard library module that provides fundamental language functionality, built-in types, and essential operations.
-
E.
Basic Latin
Basic Latin is the foundational Unicode block that encodes the standard English letters, digits, and common punctuation used in most Western text.
- 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_69a493f1ddf48190a99d54b00e99f8ce |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b95e56948190a1e92367ad7240b7 |
completed | March 1, 2026, 10:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac42affbac8190b6b16a1d726d0d35 |
completed | March 7, 2026, 3:22 p.m. |
Created at: March 1, 2026, 7:42 p.m.