Triple
T24904402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hans Wilsdorf Foundation |
E623664
|
entity |
| Predicate | usesProfitsFrom |
P107001
|
FINISHED |
| Object | Rolex SA |
—
|
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: Rolex SA | Statement: [Hans Wilsdorf Foundation, usesProfitsFrom, Rolex SA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesProfitsFrom Context triple: [Hans Wilsdorf Foundation, usesProfitsFrom, Rolex SA]
-
A.
profitsFrom
Indicates that one entity gains financial or material benefit as a result of another entity’s actions, existence, or situation.
-
B.
usesForIncome
chosen
Indicates that one entity derives income or financial gain from using another entity.
-
C.
viewsProfitAs
Indicates that one entity regards or interprets another entity as a form or source of profit.
-
D.
becameProfitable
Indicates that an entity transitioned from operating at a loss or break-even to generating a net profit.
-
E.
revenueUse
Indicates how generated revenue is allocated, spent, or applied toward specific purposes or activities.
- F. None of above.
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_69e2fac797cc8190b30d77f4121099ac |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442b8479c8190a7c8e416ac9e28a0 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 5:27 a.m.