Triple
T19064004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gary Comer |
E466607
|
entity |
| Predicate | placeFounded |
P4560
|
FINISHED |
| Object | Lands’ End |
—
|
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: Lands’ End | Statement: [Gary Comer, placeFounded, Lands’ End]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lands’ End Context triple: [Gary Comer, placeFounded, Lands’ End]
-
A.
Lands' End
chosen
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.
-
B.
Lands End
Lands End is a rugged coastal park in San Francisco known for its cliffside trails, scenic views of the Golden Gate Bridge, and historic ruins such as the Sutro Baths.
-
C.
Old Navy
Old Navy is an American clothing and accessories retail chain known for offering affordable, family-oriented casual apparel.
-
D.
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.
-
E.
L.L.Bean
L.L.Bean is an American outdoor retail company best known for its durable apparel, footwear, and gear, as well as its flagship store and headquarters in Freeport, Maine.
- 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e196deac8190ad0406c616197e0b |
completed | April 20, 2026, 8:19 a.m. |
Created at: April 10, 2026, 12:03 p.m.