Triple
T4804838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PolyGram |
E106922
|
entity |
| Predicate | ownedLabel |
P20703
|
FINISHED |
| Object |
Polystar
Polystar is a record label that operated as part of the international music company PolyGram, releasing a variety of popular music recordings.
|
E469822
|
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: Polystar | Statement: [PolyGram, ownedLabel, Polystar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Polystar Context triple: [PolyGram, ownedLabel, Polystar]
-
A.
Zyvex
Zyvex is a pioneering nanotechnology company known for its early work in molecular nanotechnology and advanced manufacturing.
-
B.
Atco
Atco is a small unincorporated community in Waterford Township, Camden County, New Jersey, known for its residential character and regional rail access.
-
C.
Dosco
Dosco is an informal term for an alumnus of The Doon School, a prestigious all-boys boarding school in Dehradun, India.
-
D.
Setonix
Setonix is a genus of small marsupials best known for including the quokka, a short-tailed wallaby native to southwestern Australia.
-
E.
Nortone
Nortone is an alternative spelling of the name Norton, which is used as both a surname and a place name in English-speaking regions.
- 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: Polystar Triple: [PolyGram, ownedLabel, Polystar]
Generated description
Polystar is a record label that operated as part of the international music company PolyGram, releasing a variety of popular music recordings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Polystar Target entity description: Polystar is a record label that operated as part of the international music company PolyGram, releasing a variety of popular music recordings.
-
A.
Zyvex
Zyvex is a pioneering nanotechnology company known for its early work in molecular nanotechnology and advanced manufacturing.
-
B.
Atco
Atco is a small unincorporated community in Waterford Township, Camden County, New Jersey, known for its residential character and regional rail access.
-
C.
Dosco
Dosco is an informal term for an alumnus of The Doon School, a prestigious all-boys boarding school in Dehradun, India.
-
D.
Setonix
Setonix is a genus of small marsupials best known for including the quokka, a short-tailed wallaby native to southwestern Australia.
-
E.
Nortone
Nortone is an alternative spelling of the name Norton, which is used as both a surname and a place name in English-speaking regions.
- 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_69bd43f6a1e08190bf0a372bfc336ee5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c664c3c81908e4d9a7c8c19744b |
completed | March 20, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4403ef888190b41c9a0db6bf47aa |
completed | March 21, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69be44df4e808190bb65ea205446a98f |
completed | March 21, 2026, 7:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be45bc7b2c8190aa293d2c10077864 |
completed | March 21, 2026, 7:16 a.m. |
Created at: March 20, 2026, 1:23 p.m.