Triple
T6218322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evan Czaplicki |
E139046
|
entity |
| Predicate | languageDesigned |
P20615
|
FINISHED |
| Object | Elm |
E24476
|
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: Elm | Statement: [Evan Czaplicki, languageDesigned, Elm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elm Context triple: [Evan Czaplicki, languageDesigned, Elm]
-
A.
Elm
chosen
Elm is a statically typed, functional programming language that compiles to JavaScript and is designed for building reliable, maintainable web front-end applications.
-
B.
Elm
Elm is a civil parish and village in Cambridgeshire, England, known for its rural character and historic church.
-
C.
Maple
Maple is a comprehensive computer algebra system used for symbolic and numeric mathematics, modeling, and technical computing across education and research.
-
D.
Kedr
Kedr was the radio call sign used by Yuri Gagarin during his historic Vostok 1 mission, the first human spaceflight.
-
E.
Tanne
Tanne is a small village in the Harz region of central Germany, now part of the town of Oberharz am Brocken.
- 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_69c008aecb0c81909984b48f733ce8ae |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062a481908190a1418d9fcfaf8137 |
completed | March 22, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20dbbacf08190bbbb2863e19c3e7c |
completed | March 24, 2026, 4:06 a.m. |
Created at: March 22, 2026, 4:21 p.m.