Triple

T26297093
Position Surface form Disambiguated ID Type / Status
Subject Adobe Digital Editions E661445 entity
Predicate supportsLibraryFormat P196140 FINISHED
Object ACSM
ACSM (Adobe Content Server Message) is a small license file format used by Adobe’s DRM system to authorize and download protected eBooks rather than storing the book’s actual content.
 E1719243 NE FINISHED

How this triple was built (3 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: ACSM | Statement: [Adobe Digital Editions, supportsLibraryFormat, ACSM]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ACSM
Triple: [Adobe Digital Editions, supportsLibraryFormat, ACSM]
Generated description
ACSM (Adobe Content Server Message) is a small license file format used by Adobe’s DRM system to authorize and download protected eBooks rather than storing the book’s actual content.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: supportsLibraryFormat
Context triple: [Adobe Digital Editions, supportsLibraryFormat, ACSM]
  • A. supportsBackupFormat
    Indicates that one entity is capable of handling, storing, or operating with another entity as a backup data format.
  • B. hasFileFormat
    Indicates that one entity (typically a digital file or resource) is encoded, stored, or represented using a specific file format defined by the other entity.
  • C. audioFormatSupported
    Indicates that a particular audio format is recognized and can be correctly processed or played by a given system or component.
  • D. supportsRasterFormat
    Indicates that one entity is capable of handling, processing, or outputting data in a specified raster image format.
  • E. supportsDiskImageFormat
    Indicates that one entity is capable of handling, using, or being compatible with a specified disk image format.
  • F. None of above. chosen

Provenance (7 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_69ee812cd48c81908054068f545f0526 completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69fe0d165a48819098b854318a50d76c completed May 8, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a118fc9b39c8190a4ad2167c621c246 completed May 23, 2026, 11:30 a.m.
NEDg Description generation batch_6a1190549934819082b10e07b035a7b9 completed May 23, 2026, 11:32 a.m.
NED2 Entity disambiguation (via description) batch_6a11928405ac81908559a169b90f04a8 completed May 23, 2026, 11:41 a.m.
PD Predicate disambiguation batch_69fe0931002481908a95b34f95e9f64e completed May 8, 2026, 4:02 p.m.
PDg Predicate description generation batch_69fe0d14778c8190986fa4f37f992a2f completed May 8, 2026, 4:19 p.m.
Created at: April 26, 2026, 10:13 p.m.