Triple
T11380471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avid Media Composer |
E269579
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Avid Technology |
E922373
|
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 Technology | Statement: [Avid Media Composer, publisher, Avid Technology]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avid Technology Context triple: [Avid Media Composer, publisher, Avid Technology]
-
A.
Avid Technology
chosen
Avid Technology is an American company known for developing professional audio and video editing tools widely used in film, television, and music production.
-
B.
Avid Nexis
Avid Nexis is a high-performance, shared storage system designed for collaborative media production workflows, particularly in film, television, and broadcast environments.
-
C.
Avid MediaCentral
Avid MediaCentral is Avid’s integrated, cloud-capable media production and asset management platform used to connect, manage, and streamline broadcast and post-production workflows.
-
D.
Steinberg
Steinberg is a small settlement in Norway situated along the Drammenselva river, known for its riverside location and local railway station.
-
E.
Steinberg
Steinberg is a locality within the town of Wadern in the Saarland region of Germany.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7fc331f188190a7f69f1aae53fb6b |
completed | April 9, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58bff6574819089bd63266b97a734 |
completed | April 20, 2026, 2:14 a.m. |
Created at: April 8, 2026, 9:34 p.m.