Triple
T22268653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gap Inc. |
E550416
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Old Navy |
—
|
NE NERFINISHED |
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: Old Navy | Statement: [Gap Inc., brand, Old Navy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Old Navy Context triple: [Gap Inc., brand, Old Navy]
-
A.
Old Navy
chosen
Old Navy is an American clothing and accessories retail chain known for offering affordable, family-oriented casual apparel.
-
B.
Old Navy Outlet
Old Navy Outlet is a discount retail chain offering Old Navy-branded clothing and accessories at reduced prices, typically located in outlet malls.
-
C.
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.
-
D.
Lands' End
Lands' End is an American retailer known for its classic, casual clothing, outerwear, and home goods, often associated with durable quality and catalog and online sales.
-
E.
Abercrombie
Abercrombie is a Scottish-origin surname borne by various notable individuals, including politicians, artists, and public figures.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f141bde9f88190b533bcb88787b492 |
completed | April 28, 2026, 11:24 p.m. |
Created at: April 16, 2026, 8:39 p.m.