Triple
T8470534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quick Look |
E200269
|
entity |
| Predicate | accessibleFrom |
P1985
|
FINISHED |
| Object | Finder |
E38934
|
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: Finder | Statement: [Quick Look, accessibleFrom, Finder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Finder Context triple: [Quick Look, accessibleFrom, Finder]
-
A.
Finder
chosen
Finder is the primary file management and desktop navigation application for Apple's Macintosh operating systems, providing users with a graphical interface to access and organize files, folders, and drives.
-
B.
Finder
Finder is a Symfony component that provides an intuitive, object-oriented API for locating and filtering files and directories in a filesystem.
-
C.
Findon
Findon is a village in West Sussex, England, situated near the South Downs and known for its rural character and historic charm.
-
D.
Findern
Findern is a small village and civil parish in Derbyshire, England, known for its historic buildings and rural character.
-
E.
Alexander Search
Alexander Search is one of Fernando Pessoa’s English-writing heteronyms, used to compose poetry and prose distinct in style and persona from Pessoa himself.
- 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_69ca831a4f348190bfdd09250e86ae35 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4f234c481909534de6fd702f4cf |
completed | March 31, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4dda5230819087ab2509eb958fc2 |
completed | April 2, 2026, 11:07 a.m. |
Created at: March 30, 2026, 6:11 p.m.