Triple
T13055759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moog synthesizer |
E327566
|
entity |
| Predicate | hasModel |
P2390
|
FINISHED |
| Object |
Sub 37
The Sub 37 is a monophonic analog synthesizer by Moog known for its rich, warm sound, extensive modulation options, and hands-on performance controls.
|
E1018942
|
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 37 | Statement: [Moog synthesizer, hasModel, Sub 37]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sub 37 Context triple: [Moog synthesizer, hasModel, Sub 37]
-
A.
Subcon
Subcon is the dreamlike fantasy world that serves as the primary backdrop for the video game Super Mario Bros. 2.
-
B.
SUB
SUB is the IATA airport code for Juanda International Airport serving Surabaya, Indonesia.
-
C.
Sub-Level 3
"Sub-Level 3" is a suspenseful cue from James Horner’s score for the 1986 science fiction film Aliens, underscoring tense action in the movie’s lower-level complex.
-
D.
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.
-
E.
Underneath
"Underneath" is a song by American pop-rock band Hanson, known for showcasing their more mature sound and songwriting beyond their early teen-pop success.
- 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 37 Triple: [Moog synthesizer, hasModel, Sub 37]
Generated description
The Sub 37 is a monophonic analog synthesizer by Moog known for its rich, warm sound, extensive modulation options, and hands-on performance controls.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sub 37 Target entity description: The Sub 37 is a monophonic analog synthesizer by Moog known for its rich, warm sound, extensive modulation options, and hands-on performance controls.
-
A.
Subcon
Subcon is the dreamlike fantasy world that serves as the primary backdrop for the video game Super Mario Bros. 2.
-
B.
SUB
SUB is the IATA airport code for Juanda International Airport serving Surabaya, Indonesia.
-
C.
Sub-Level 3
"Sub-Level 3" is a suspenseful cue from James Horner’s score for the 1986 science fiction film Aliens, underscoring tense action in the movie’s lower-level complex.
-
D.
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.
-
E.
Underneath
"Underneath" is a song by American pop-rock band Hanson, known for showcasing their more mature sound and songwriting beyond their early teen-pop success.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980bd305c8190bcf191b2d35ec8de |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbdead348190aa7aaa29c371d72a |
completed | May 3, 2026, 4:15 a.m. |
| NEDg | Description generation | batch_69f6d039254881909927b58225f194de |
completed | May 3, 2026, 4:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6d0d218d4819080273a151a0890d3 |
completed | May 3, 2026, 4:36 a.m. |
Created at: April 9, 2026, 8:58 p.m.