Triple
T21440667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twenty |
E528930
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object |
Lyve from Steel Town
Lyve from Steel Town is a musical project or artist associated with the Steel Town scene, likely known for a gritty, industrial-influenced sound.
|
E1484490
|
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: Lyve from Steel Town | Statement: [Twenty, followedBy, Lyve from Steel Town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lyve from Steel Town Context triple: [Twenty, followedBy, Lyve from Steel Town]
-
A.
Lillete
Lillete is an alcoholic beverage brand that forms part of Pernod Ricard’s global spirits and drinks portfolio.
-
B.
Alvie
Alvie is a diminutive given name, typically used as a familiar or affectionate form of the name Alvin.
-
C.
Lewie
Lewie is a diminutive given name, typically used as a familiar or affectionate form of the name Lewis.
-
D.
Llifen
Llifen is a small lakeside settlement in southern Chile known for its scenic location on the shores of Ranco Lake.
-
E.
Brylin
Brylin is the surname of Sergei Brylin, a former Russian professional ice hockey player and three-time Stanley Cup champion with the New Jersey Devils.
- 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: Lyve from Steel Town Triple: [Twenty, followedBy, Lyve from Steel Town]
Generated description
Lyve from Steel Town is a musical project or artist associated with the Steel Town scene, likely known for a gritty, industrial-influenced sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lyve from Steel Town Target entity description: Lyve from Steel Town is a musical project or artist associated with the Steel Town scene, likely known for a gritty, industrial-influenced sound.
-
A.
Lillete
Lillete is an alcoholic beverage brand that forms part of Pernod Ricard’s global spirits and drinks portfolio.
-
B.
Alvie
Alvie is a diminutive given name, typically used as a familiar or affectionate form of the name Alvin.
-
C.
Lewie
Lewie is a diminutive given name, typically used as a familiar or affectionate form of the name Lewis.
-
D.
Llifen
Llifen is a small lakeside settlement in southern Chile known for its scenic location on the shores of Ranco Lake.
-
E.
Brylin
Brylin is the surname of Sergei Brylin, a former Russian professional ice hockey player and three-time Stanley Cup champion with the New Jersey Devils.
- 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_69e0c4569fa081908101baa24f8745db |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b70101208190a77bf5dd53dce37a |
completed | April 22, 2026, 11:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09c90127ec8190a82c20c4168ad7c3 |
completed | May 17, 2026, 1:56 p.m. |
| NEDg | Description generation | batch_6a09c99200a88190ad13565044dfcac0 |
completed | May 17, 2026, 1:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09ca3c4ec48190829b1bd83b933f53 |
completed | May 17, 2026, 2:01 p.m. |
Created at: April 16, 2026, 6:05 p.m.