Triple
T16004005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TechStyle Fashion Group |
E388164
|
entity |
| Predicate | operatesBrand |
P6092
|
FINISHED |
| Object |
Fabletics
Fabletics is an activewear and athleisure brand known for its membership-based model and stylish, affordable workout apparel.
|
E1187615
|
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: Fabletics | Statement: [TechStyle Fashion Group, operatesBrand, Fabletics]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fabletics Context triple: [TechStyle Fashion Group, operatesBrand, Fabletics]
-
A.
Cotton On
Cotton On is a global Australian retail chain known for its affordable, casual fashion and lifestyle products.
-
B.
Esprit
Esprit is an international fashion brand known for its casual, contemporary clothing and lifestyle products.
-
C.
Women’s Wear Daily
Women’s Wear Daily is a leading American fashion-industry trade journal known for its influential coverage of trends, designers, and the business of fashion.
-
D.
Free People
Free People is a contemporary American fashion brand known for its bohemian-inspired women’s clothing, accessories, and lifestyle products.
-
E.
Nasty Gal
Nasty Gal is a 1969 funk and soul album by singer Betty Davis, known for its raw, aggressive sound and Davis’s pioneering, sexually liberated persona.
- 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: Fabletics Triple: [TechStyle Fashion Group, operatesBrand, Fabletics]
Generated description
Fabletics is an activewear and athleisure brand known for its membership-based model and stylish, affordable workout apparel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fabletics Target entity description: Fabletics is an activewear and athleisure brand known for its membership-based model and stylish, affordable workout apparel.
-
A.
Cotton On
Cotton On is a global Australian retail chain known for its affordable, casual fashion and lifestyle products.
-
B.
Esprit
Esprit is an international fashion brand known for its casual, contemporary clothing and lifestyle products.
-
C.
Women’s Wear Daily
Women’s Wear Daily is a leading American fashion-industry trade journal known for its influential coverage of trends, designers, and the business of fashion.
-
D.
Free People
Free People is a contemporary American fashion brand known for its bohemian-inspired women’s clothing, accessories, and lifestyle products.
-
E.
Nasty Gal
Nasty Gal is a 1969 funk and soul album by singer Betty Davis, known for its raw, aggressive sound and Davis’s pioneering, sexually liberated persona.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157fe776c81908f7bf29ef064a6ba |
completed | April 16, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3dec0c0819099b9007ad0fc6fb4 |
completed | May 9, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69ffc49bfa088190a6291f560ca9bdb5 |
completed | May 9, 2026, 11:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffc538a5f0819097ea09f57d3cae35 |
completed | May 9, 2026, 11:37 p.m. |
Created at: April 10, 2026, 4:55 a.m.