Triple
T13894730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Speex |
E334057
|
entity |
| Predicate | containerFormat |
P31899
|
FINISHED |
| Object |
Ogg
Ogg is a free, open, and patent-unencumbered multimedia container format commonly used for streaming and storing audio and video data.
|
E1068065
|
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: Ogg | Statement: [Speex, containerFormat, Ogg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ogg Context triple: [Speex, containerFormat, Ogg]
-
A.
Opus
Opus is a 2019 studio album by American singer Marc Anthony, known for its salsa tracks and his return to original material after several years.
-
B.
Opus
Opus is a versatile, royalty-free audio codec designed for interactive speech and high-fidelity music streaming over the internet.
-
C.
Opus
Opus was the chief city of the ancient Greek region of Eastern Locris, known as Opuntian Locris.
-
D.
Audion
Audion is an early triode vacuum tube invented by Lee de Forest that enabled the amplification of electrical signals and was crucial to the development of radio and electronics.
-
E.
Oss
Oss is a municipality and industrial city in the southern Netherlands, known historically for its pharmaceutical and meat-processing industries.
- 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: Ogg Triple: [Speex, containerFormat, Ogg]
Generated description
Ogg is a free, open, and patent-unencumbered multimedia container format commonly used for streaming and storing audio and video data.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ogg Target entity description: Ogg is a free, open, and patent-unencumbered multimedia container format commonly used for streaming and storing audio and video data.
-
A.
Opus
Opus is a 2019 studio album by American singer Marc Anthony, known for its salsa tracks and his return to original material after several years.
-
B.
Opus
Opus is a versatile, royalty-free audio codec designed for interactive speech and high-fidelity music streaming over the internet.
-
C.
Opus
Opus was the chief city of the ancient Greek region of Eastern Locris, known as Opuntian Locris.
-
D.
Audion
Audion is an early triode vacuum tube invented by Lee de Forest that enabled the amplification of electrical signals and was crucial to the development of radio and electronics.
-
E.
Oss
Oss is a municipality and industrial city in the southern Netherlands, known historically for its pharmaceutical and meat-processing industries.
- 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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a741908190bdf46d76c5f1411a |
completed | April 14, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c71eb1808190b0a3a28a8011e9c7 |
completed | May 3, 2026, 10:07 p.m. |
| NEDg | Description generation | batch_69f7c868bdfc8190a13379363d01568d |
completed | May 3, 2026, 10:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c976e96c8190b59f46d9b758e8e2 |
completed | May 3, 2026, 10:17 p.m. |
Created at: April 9, 2026, 10:15 p.m.