Triple
T7943435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Britpop |
E184442
|
entity |
| Predicate | notableBand |
P6597
|
FINISHED |
| Object |
Menswear
Menswear was a mid-1990s British Britpop band known for its sharp mod-influenced style and brief burst of chart success.
|
E699475
|
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: Menswear | Statement: [Britpop, notableBand, Menswear]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Menswear Context triple: [Britpop, notableBand, Menswear]
-
A.
Gents
Gents is the nickname for the men's athletic teams representing Centenary College of Louisiana.
-
B.
Damen
Damen is a Chicago 'L' rapid transit station on the Blue Line serving the city's Wicker Park and Bucktown neighborhoods.
-
C.
Modern Men
Modern Men is a short-lived American sitcom that followed three single male friends navigating dating and relationships, best known today for featuring actor Max Greenfield early in his career.
-
D.
Coats
Coats is a well-known global brand specializing in industrial threads, yarns, and related textile products.
-
E.
Vest
Vest is a surname most notably associated with Charles M. Vest, an American engineer and former president of the Massachusetts Institute of Technology.
- 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: Menswear Triple: [Britpop, notableBand, Menswear]
Generated description
Menswear was a mid-1990s British Britpop band known for its sharp mod-influenced style and brief burst of chart success.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Menswear Target entity description: Menswear was a mid-1990s British Britpop band known for its sharp mod-influenced style and brief burst of chart success.
-
A.
Gents
Gents is the nickname for the men's athletic teams representing Centenary College of Louisiana.
-
B.
Damen
Damen is a Chicago 'L' rapid transit station on the Blue Line serving the city's Wicker Park and Bucktown neighborhoods.
-
C.
Modern Men
Modern Men is a short-lived American sitcom that followed three single male friends navigating dating and relationships, best known today for featuring actor Max Greenfield early in his career.
-
D.
Coats
Coats is a well-known global brand specializing in industrial threads, yarns, and related textile products.
-
E.
Vest
Vest is a surname most notably associated with Charles M. Vest, an American engineer and former president of the Massachusetts Institute of Technology.
- 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_69ca8291c2008190b1b8832c87814bcf |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b0d31548190af54a2f3bbb8cad3 |
completed | March 31, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5c175bd88190bdc0303bc0df90d8 |
completed | March 31, 2026, 5:31 a.m. |
| NEDg | Description generation | batch_69cb7635a0e48190ae8c3f6993df3ad2 |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbb663d3a48190bc62f7a04bc6a1bb |
completed | March 31, 2026, 11:56 a.m. |
Created at: March 30, 2026, 5:09 p.m.