Triple
T16171744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MultiFinder |
E392454
|
entity |
| Predicate | relatedSoftware |
P28584
|
FINISHED |
| Object | Finder |
E452821
|
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: [MultiFinder, relatedSoftware, Finder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Finder Context triple: [MultiFinder, relatedSoftware, Finder]
-
A.
Finder
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
chosen
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.
Findon
Findon is a residential suburb in the western metropolitan area of Adelaide, South Australia.
-
E.
Findern
Findern is a small village and civil parish in Derbyshire, England, known for its historic buildings and rural character.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21eb7ab1481908fc35bfc8c56e5f2 |
completed | April 17, 2026, 11:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7bd87f08190a9f2a1524e5db2ba |
completed | May 10, 2026, 3:13 a.m. |
Created at: April 10, 2026, 5:02 a.m.