Triple
T4654771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Algol 68R |
E102381
|
entity |
| Predicate | influencedBy |
P9
|
FINISHED |
| Object | Algol 60 |
E11138
|
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: Algol 60 | Statement: [Algol 68R, influencedBy, Algol 60]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Algol 60 Context triple: [Algol 68R, influencedBy, Algol 60]
-
A.
ALGOL 60
chosen
ALGOL 60 is an early high-level programming language that pioneered block structure and lexical scoping, profoundly influencing the design of many later languages.
-
B.
Algol 68
Algol 68 is a high-level, structured programming language from the ALGOL family, notable for its orthogonal design and influence on many later languages.
-
C.
ALGOL 58
ALGOL 58 is an early high-level programming language that pioneered many structured programming concepts and directly influenced the design of ALGOL 60 and numerous later languages.
-
D.
Algol 68 Genie
Algol 68 Genie is a modern, open-source implementation of the Algol 68 programming language designed for contemporary systems and practical use.
-
E.
Algol 68S
Algol 68S is a simplified subset of the Algol 68 programming language designed to make the language easier to implement and use.
- 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_69bd43d823288190952279faa0d1d066 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6317ba70819089145766d3462e57 |
completed | March 20, 2026, 3:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be0378825881908fe3214f60be579e |
completed | March 21, 2026, 2:33 a.m. |
Created at: March 20, 2026, 1:14 p.m.