Triple
T14422069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SFIX |
E357607
|
entity |
| Predicate | represents |
P129
|
FINISHED |
| Object | Stitch Fix, Inc. |
E72090
|
NE FINISHED |
How this triple was built (2 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: Stitch Fix, Inc. | Statement: [SFIX, represents, Stitch Fix, Inc.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stitch Fix, Inc. Context triple: [SFIX, represents, Stitch Fix, Inc.]
-
A.
Stitch Fix
chosen
Stitch Fix is an online personal styling service and apparel retailer that uses data science and human stylists to curate and ship customized clothing selections to customers.
-
B.
Urban Outfitters, Inc.
Urban Outfitters, Inc. is an American multinational lifestyle retail corporation known for its youth-oriented fashion, home décor, and accessories brands.
-
C.
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.
-
D.
Men’s Wearhouse
Men’s Wearhouse is a major American men’s clothing retailer best known for its tailored suits and value-oriented formalwear.
-
E.
New York & Company
New York & Company is an American specialty retailer known for offering women's fashion apparel and accessories, particularly career and casual wear, through mall-based stores and online channels.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91102c3c81908f571a1fff3bdd47 |
completed | April 14, 2026, 7:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a38003c819083f276fcaae52da9 |
completed | May 8, 2026, 5:52 a.m. |
Created at: April 10, 2026, 1:18 a.m.