Triple
T9004514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | macOS Yosemite 10.10.3 |
E215110
|
entity |
| Predicate | replacedApplication |
P31497
|
FINISHED |
| Object | Aperture |
E215109
|
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: Aperture | Statement: [macOS Yosemite 10.10.3, replacedApplication, Aperture]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aperture Context triple: [macOS Yosemite 10.10.3, replacedApplication, Aperture]
-
A.
Aperture
chosen
Aperture was Apple’s professional photo editing and management application for macOS, aimed at photographers needing advanced workflow and image processing tools.
-
B.
The Camera
The Camera is a seminal photography book by Ansel Adams that explores the technical and artistic use of cameras in creating expressive photographs.
-
C.
Lytro
Lytro was a pioneering technology company known for developing consumer light-field cameras that allowed users to refocus images after they were taken.
-
D.
Bokeh
Bokeh is an interactive visualization library for Python that enables the creation of rich, web-ready plots and dashboards from large or streaming datasets.
-
E.
Cyber-shot
Cyber-shot is Sony's line of compact digital still cameras known for their portability, advanced imaging features, and consumer-friendly design.
- 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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6959497c8190a748c78504dd2eb6 |
completed | April 1, 2026, 12:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0e3f0c88190ae688632be25e5c9 |
completed | April 3, 2026, 2:38 p.m. |
Created at: March 30, 2026, 7:05 p.m.