Triple
T22449982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VF Corporation |
E554964
|
entity |
| Predicate | ownsBrand |
P1500
|
FINISHED |
| Object | Timberland |
—
|
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: Timberland | Statement: [VF Corporation, ownsBrand, Timberland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Timberland Context triple: [VF Corporation, ownsBrand, Timberland]
-
A.
Timberland
chosen
Timberland is an American outdoor lifestyle brand best known for its rugged waterproof boots and durable apparel.
-
B.
Timberlands
Timberlands is Weyerhaeuser’s core business segment focused on owning, managing, and sustainably harvesting large tracts of commercial forestland for wood and related products.
-
C.
Merrells
Merrells is a surname most notably associated with English actor Simon Merrells.
-
D.
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.
-
E.
Blundstone
Blundstone is an Australian footwear company best known for its durable, slip-on leather work and casual boots.
- 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4ae8a08190ba6027f036ce62af |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 16, 2026, 8:48 p.m.