Triple
T6789909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AppleScript |
E155905
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | JavaScript for Automation |
E3742
|
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: JavaScript for Automation | Statement: [AppleScript, influenced, JavaScript for Automation]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JavaScript for Automation Context triple: [AppleScript, influenced, JavaScript for Automation]
-
A.
JavaScript
chosen
JavaScript is a high-level, dynamic programming language primarily used to create interactive and dynamic content on web pages.
-
B.
JSL
JSL is the primary sign language used by the Deaf community in Jamaica, with its own distinct grammar and vocabulary.
-
C.
RPA
RPA is the ICAO airline designator used for Republic Airways, a U.S.-based regional airline operating flights on behalf of major carriers.
-
D.
RPA
RPA is the acronym for the Rural Payments Agency, the UK government body responsible for administering agricultural and rural development payments to farmers and land managers.
-
E.
UiPath
UiPath is a leading global software company specializing in robotic process automation (RPA) platforms that help organizations automate repetitive digital tasks.
- 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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2ab4ce88190b6311e4d5aac758c |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a8998408190b741417ce6f21f55 |
completed | March 28, 2026, 12:02 a.m. |
Created at: March 27, 2026, 2:15 p.m.