Triple
T23350316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gander Outdoors |
E591986
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | Gander Outdoors |
E591986
|
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: Gander Outdoors | Statement: [Gander Outdoors, hasBrand, Gander Outdoors]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gander Outdoors Context triple: [Gander Outdoors, hasBrand, Gander Outdoors]
-
A.
Gander Outdoors
chosen
Gander Outdoors is an American retail chain specializing in outdoor gear, camping equipment, and recreational products.
-
B.
Johnson Outdoors
Johnson Outdoors is an American outdoor recreation company that designs and manufactures equipment for activities such as camping, water sports, and marine electronics.
-
C.
Magellan Outdoors
Magellan Outdoors is an outdoor-focused private label brand offering apparel, footwear, and gear for activities like camping, fishing, and hiking.
-
D.
Pine Outfitters
Pine Outfitters is a fashion and lifestyle brand founded by Daniel Neeson, known for its modern, outdoors-inspired apparel and accessories.
-
E.
Cabela's
Cabela's is a major American retail chain specializing in hunting, fishing, camping, and outdoor recreation gear.
- 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_69e25d20e3d08190bcede87673cafb25 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19a132da08190b30de610d34c96cc |
completed | April 29, 2026, 5:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c4cbbbf388190a2ec51bb06690168 |
completed | May 19, 2026, 11:42 a.m. |
Created at: April 17, 2026, 5:19 p.m.