Triple
T1166096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Svelte |
E24802
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | Rich Harris |
E214370
|
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: Rich Harris | Statement: [Svelte, developer, Rich Harris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rich Harris Context triple: [Svelte, developer, Rich Harris]
-
A.
Rich Harris
chosen
Rich Harris is a software engineer and journalist best known for creating the Svelte JavaScript framework and his work on interactive data visualizations.
-
B.
Michael Graydon
Michael Graydon is a retired senior Royal Air Force officer who served as a leading commander of British fighter aviation during the late 20th century.
-
C.
Darren Gilshenan
Darren Gilshenan is an Australian actor and comedian known for his work in television, film, and theatre, particularly in character and comic roles.
-
D.
Richard Holland
Richard Holland is an American music producer and former husband of renowned singer Chaka Khan.
-
E.
Stephen Glenn Martin
Stephen Glenn Martin is an American comedian, actor, writer, musician, and producer renowned for his stand-up comedy, film roles, and banjo performances.
- 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_69a494082a7c819095004f423f294a64 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bccc62a88190882d8801908015a4 |
completed | March 1, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfb8231ec81909d539f9bc2219619 |
completed | March 8, 2026, 10:43 p.m. |
Created at: March 1, 2026, 7:45 p.m.