Triple
T14378273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MTV Oy |
E356530
|
entity |
| Predicate | operates |
P24
|
FINISHED |
| Object |
Sub
Sub is a Finnish television channel known for its youth-oriented entertainment programming, including imported series, reality shows, and comedy.
|
E1095989
|
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: Sub | Statement: [MTV Oy, operates, Sub]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sub Context triple: [MTV Oy, operates, Sub]
-
A.
SUB
SUB is the IATA airport code for Juanda International Airport serving Surabaya, Indonesia.
-
B.
subant
subant is an Apache Ant task that allows one build script to invoke and control other Ant build files as part of a larger build process.
-
C.
Subcon
Subcon is the dreamlike fantasy world that serves as the primary backdrop for the video game Super Mario Bros. 2.
-
D.
Subtitle C
Subtitle C is the portion of the Resource Conservation and Recovery Act that establishes the federal regulatory framework for managing hazardous waste from its generation through its final disposal.
-
E.
Subsurface
Subsurface is an open-source dive log and planning software application originally developed by Linux creator Linus Torvalds for recreational and technical scuba divers.
- 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: Sub Triple: [MTV Oy, operates, Sub]
Generated description
Sub is a Finnish television channel known for its youth-oriented entertainment programming, including imported series, reality shows, and comedy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sub Target entity description: Sub is a Finnish television channel known for its youth-oriented entertainment programming, including imported series, reality shows, and comedy.
-
A.
SUB
SUB is the IATA airport code for Juanda International Airport serving Surabaya, Indonesia.
-
B.
subant
subant is an Apache Ant task that allows one build script to invoke and control other Ant build files as part of a larger build process.
-
C.
Subcon
Subcon is the dreamlike fantasy world that serves as the primary backdrop for the video game Super Mario Bros. 2.
-
D.
Subtitle C
Subtitle C is the portion of the Resource Conservation and Recovery Act that establishes the federal regulatory framework for managing hazardous waste from its generation through its final disposal.
-
E.
Subsurface
Subsurface is an open-source dive log and planning software application originally developed by Linux creator Linus Torvalds for recreational and technical scuba divers.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de900a67e08190ab1dcf36e6bb3405 |
completed | April 14, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c5728fc819089ef3c7c34b10101 |
completed | May 8, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fd4e4bae188190a8d1c5b833d58cd8 |
completed | May 8, 2026, 2:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4f5782b4819081d32dbef032ac61 |
completed | May 8, 2026, 2:49 a.m. |
Created at: April 10, 2026, 1:16 a.m.