Triple
T15597174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basketball Bundesliga |
E374931
|
entity |
| Predicate | titleSponsor |
P24881
|
FINISHED |
| Object |
easyCredit
easyCredit is a German consumer credit brand that serves as the naming sponsor of Germany's top-tier professional basketball league.
|
E1166481
|
NE FINISHED |
How this triple was built (4 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: easyCredit | Statement: [Basketball Bundesliga, titleSponsor, easyCredit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: easyCredit Context triple: [Basketball Bundesliga, titleSponsor, easyCredit]
-
A.
easyCredit-Stadion
easyCredit-Stadion was the commercial name used for a period by the football stadium in Nuremberg, Germany, now known as Max-Morlock-Stadion.
-
B.
easyMoney
easyMoney is a financial services brand within the easyGroup portfolio, associated with the low-cost, consumer-focused "easy" family of companies.
-
C.
Creditex
Creditex is a financial services firm specializing in electronic trading and brokerage of credit derivatives and related fixed-income products.
-
D.
Affirm
Affirm is a U.S.-based financial technology company that provides buy now, pay later and installment loan services for consumers at the point of sale.
-
E.
Friendly Loans
"Friendly Loans" is a doo-wop song recorded by the American vocal group The Marcels.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: easyCredit Triple: [Basketball Bundesliga, titleSponsor, easyCredit]
Generated description
easyCredit is a German consumer credit brand that serves as the naming sponsor of Germany's top-tier professional basketball league.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: easyCredit Target entity description: easyCredit is a German consumer credit brand that serves as the naming sponsor of Germany's top-tier professional basketball league.
-
A.
easyCredit-Stadion
easyCredit-Stadion was the commercial name used for a period by the football stadium in Nuremberg, Germany, now known as Max-Morlock-Stadion.
-
B.
easyMoney
easyMoney is a financial services brand within the easyGroup portfolio, associated with the low-cost, consumer-focused "easy" family of companies.
-
C.
Creditex
Creditex is a financial services firm specializing in electronic trading and brokerage of credit derivatives and related fixed-income products.
-
D.
Affirm
Affirm is a U.S.-based financial technology company that provides buy now, pay later and installment loan services for consumers at the point of sale.
-
E.
Friendly Loans
"Friendly Loans" is a doo-wop song recorded by the American vocal group The Marcels.
- F. None of above. chosen
Provenance (5 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e609ab081909feb486a57439960 |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56ccc40c8190a3b1339404e6897f |
completed | May 9, 2026, 3:46 p.m. |
| NEDg | Description generation | batch_69ff581a25008190b7be08a93d798522 |
completed | May 9, 2026, 3:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff58ad35108190a0549d3d81e6851e |
completed | May 9, 2026, 3:54 p.m. |
Created at: April 10, 2026, 4:12 a.m.