Triple
T24813613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Script Editor (macOS) |
E620853
|
entity |
| Predicate | canSaveAs |
P74584
|
FINISHED |
| Object | compiled script |
—
|
LITERAL 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: compiled script | Statement: [Script Editor (macOS), canSaveAs, compiled script]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canSaveAs Context triple: [Script Editor (macOS), canSaveAs, compiled script]
-
A.
canBeSavedAs
chosen
Indicates that one entity is capable of being stored or preserved in the form or format of another entity.
-
B.
canBeSavedByUser
Indicates that the entity is eligible to be stored, bookmarked, or otherwise preserved through an action performed by a user.
-
C.
supportsCrossSave
Indicates that an entity allows users to share and continue their progress or data across multiple platforms or devices.
-
D.
canExportToFormat
Indicates that something has the capability to be exported or converted into a specified file or data format.
-
E.
supportsSavingToCameraRoll
Indicates whether an action or feature allows content to be saved directly to the device’s camera roll.
- F. None of above.
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_69e2fabfd4648190bd0e5c7f4dbb6cab |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442b8479c8190a7c8e416ac9e28a0 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 4:59 a.m.