Triple
T8918184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Celluloid |
E212344
|
entity |
| Predicate | isCrossPlatformWithinUnixLike |
P49320
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Celluloid, isCrossPlatformWithinUnixLike, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCrossPlatformWithinUnixLike Context triple: [Celluloid, isCrossPlatformWithinUnixLike, true]
-
A.
isMultiplatform
chosen
Indicates that something is designed to operate or be available across multiple platforms or environments.
-
B.
hasTargetPlatform
Indicates that something is intended to run on, be compatible with, or be deployed to a specified platform.
-
C.
usesSameSystemAs
Indicates that two entities operate within or rely on the same underlying system, platform, or infrastructure.
-
D.
hasPlatformType
Indicates that an entity is associated with or characterized by a specific type or category of platform.
-
E.
consideredPlatform
Indicates that one entity is regarded or treated as a platform (e.g., a base, medium, or environment) for another entity or activity.
- 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_69ca8393b1808190bd4336787ffa2c40 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66120eb08190913ab6c42f26ffb8 |
completed | April 1, 2026, 12:25 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed0ef3c81908cc69eac852ee12a |
completed | March 31, 2026, 11:54 p.m. |
Created at: March 30, 2026, 6:56 p.m.