Triple
T22028184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linphone |
E544017
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object |
Mediastreamer2
Mediastreamer2 is an open-source multimedia streaming engine used by Linphone to handle audio and video processing for real-time communications.
|
E1514716
|
NE FINISHED |
How this triple was built (4 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: Mediastreamer2 | Statement: [Linphone, hasComponent, Mediastreamer2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mediastreamer2 Context triple: [Linphone, hasComponent, Mediastreamer2]
-
A.
GStreamer
GStreamer is an open-source multimedia framework used to build complex audio and video processing pipelines across multiple platforms.
-
B.
Jitsi
Jitsi is an open-source, cross-platform suite of real-time voice, video, and chat communication tools focused on secure, encrypted conferencing.
-
C.
H.323
H.323 is an ITU-T standard that defines protocols for voice, video, and data communication over packet-based networks such as IP.
-
D.
H.245
H.245 is an ITU-T control protocol used in multimedia communication systems to negotiate channel usage and capabilities between endpoints.
-
E.
H.324
H.324 is an ITU-T multimedia communication protocol designed for real-time audio, video, and data transmission over circuit-switched telephone networks.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Mediastreamer2 Triple: [Linphone, hasComponent, Mediastreamer2]
Generated description
Mediastreamer2 is an open-source multimedia streaming engine used by Linphone to handle audio and video processing for real-time communications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mediastreamer2 Target entity description: Mediastreamer2 is an open-source multimedia streaming engine used by Linphone to handle audio and video processing for real-time communications.
-
A.
GStreamer
GStreamer is an open-source multimedia framework used to build complex audio and video processing pipelines across multiple platforms.
-
B.
Jitsi
Jitsi is an open-source, cross-platform suite of real-time voice, video, and chat communication tools focused on secure, encrypted conferencing.
-
C.
H.323
H.323 is an ITU-T standard that defines protocols for voice, video, and data communication over packet-based networks such as IP.
-
D.
H.245
H.245 is an ITU-T control protocol used in multimedia communication systems to negotiate channel usage and capabilities between endpoints.
-
E.
H.324
H.324 is an ITU-T multimedia communication protocol designed for real-time audio, video, and data transmission over circuit-switched telephone networks.
- 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127cdf5c08190ac804664d6e56fe2 |
completed | April 28, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a738ada68819098355c1953b9c3cc |
completed | May 18, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_6a0a74e81da881908c73d864258dcdd5 |
completed | May 18, 2026, 2:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a75cbb2408190b058713432b048a2 |
completed | May 18, 2026, 2:13 a.m. |
Created at: April 16, 2026, 8:24 p.m.