Triple
T38517406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Media Composer | Ultimate |
E922376
|
entity |
| Predicate | softwareEditionOf |
P190976
|
FINISHED |
| Object | Avid Media Composer |
E269579
|
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: Avid Media Composer | Statement: [Media Composer | Ultimate, softwareEditionOf, Avid Media Composer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: softwareEditionOf Context triple: [Media Composer | Ultimate, softwareEditionOf, Avid Media Composer]
-
A.
serverEdition
Indicates the specific edition or variant of a server within a broader server product or family.
-
B.
softwareFormat
Indicates that one entity specifies or uses the file or data format in which a software-related item is encoded, stored, or delivered.
-
C.
softwareName
Indicates that one entity is the name or title of a software application associated with another entity.
-
D.
isStandardEditionOf
Indicates that one entity is the regular, non-special version of another entity, typically lacking extra features, content, or enhancements found in other editions.
-
E.
softwareFor
Indicates that one entity is designed, intended, or used to operate on, support, or be compatible with another entity as software.
- F. None of above. chosen
Provenance (5 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_69f76ea5f5588190bd0b28c82e975640 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcd34596288190b8e34a7a20b4c0db |
completed | May 7, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41fd48d86881909504e3469c6e0fd1 |
completed | June 29, 2026, 5:06 a.m. |
| PD | Predicate disambiguation | batch_69fcd1f6b2e08190bf0300ae7c9ae67a |
completed | May 7, 2026, 5:55 p.m. |
| PDg | Predicate description generation | batch_69fcd31227708190a7df213597e66ca8 |
completed | May 7, 2026, 5:59 p.m. |
Created at: May 3, 2026, 4:32 p.m.