Triple
T14447796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chromium rendering engine |
E358251
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | Vivaldi |
E72798
|
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: Vivaldi | Statement: [Chromium rendering engine, usedBy, Vivaldi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vivaldi Context triple: [Chromium rendering engine, usedBy, Vivaldi]
-
A.
Vivaldi
chosen
Vivaldi is a highly customizable, privacy-focused web browser built on the Chromium engine and developed by Vivaldi Technologies.
-
B.
La Viola
La Viola is the popular nickname of Italian football club ACF Fiorentina, referring to the team's distinctive purple colors.
-
C.
Biber
Biber is a modern backend program for processing BibLaTeX bibliographies in LaTeX documents, offering advanced features and Unicode support beyond traditional BibTeX.
-
D.
Marchesa di Vivaldi
Marchesa di Vivaldi is a fictional Italian noblewoman featured as a character in Ann Radcliffe’s Gothic novel "The Italian."
-
E.
Masetto
Masetto is a peasant character in Mozart’s opera "Don Giovanni," known for his jealousy and his relationship with Zerlina.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9160126c8190a2862a1a3dde1aff |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bdf451c8190baaa3f7500eaea16 |
completed | May 8, 2026, 3:43 a.m. |
Created at: April 10, 2026, 1:19 a.m.