Triple
T9004443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iPhoto |
E215108
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | iMovie |
E185558
|
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: iMovie | Statement: [iPhoto, integratesWith, iMovie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: iMovie Context triple: [iPhoto, integratesWith, iMovie]
-
A.
Final Cut Pro
Final Cut Pro is Apple's professional non-linear video editing software widely used for film, television, and content creation on macOS.
-
B.
Cutcut
Cutcut is a barangay (village-level administrative division) located in Angeles City in the province of Pampanga, Philippines.
-
C.
iPhoto
iPhoto was Apple's former consumer photo management and basic editing application for macOS and iOS, later succeeded by the Photos app.
-
D.
Windows Movie Maker
chosen
Windows Movie Maker is a discontinued video editing software from Microsoft that allowed users to create, edit, and share home movies on Windows.
-
E.
FCP
FCP is the common abbreviation for Futebol Clube do Porto, a major Portuguese professional football club based in Porto.
- 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.