Triple
T12882681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dave Whelan |
E308136
|
entity |
| Predicate | business |
P12567
|
FINISHED |
| Object |
JJB Sports
JJB Sports was a major British sports retail chain known for selling sporting goods, apparel, and equipment across the UK before its eventual decline and closure.
|
E1009576
|
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: JJB Sports | Statement: [Dave Whelan, business, JJB Sports]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JJB Sports Context triple: [Dave Whelan, business, JJB Sports]
-
A.
JD Sports
JD Sports is a major UK-based retail chain specializing in branded sportswear, footwear, and athletic fashion.
-
B.
SportChek
SportChek is a major Canadian retail chain specializing in sporting goods, athletic apparel, and related equipment.
-
C.
Dick's Sporting Goods
Dick's Sporting Goods is a major American retail chain specializing in sporting goods, apparel, footwear, and outdoor equipment.
-
D.
Decathlon
Decathlon is a classic multi-sport track and field video game designed by David Crane, known for challenging players to compete across ten Olympic-style events.
-
E.
Bestsport
Bestsport is a Czech sports and entertainment management company known for operating major venues and events, including Prague’s O2 Arena.
- 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: JJB Sports Triple: [Dave Whelan, business, JJB Sports]
Generated description
JJB Sports was a major British sports retail chain known for selling sporting goods, apparel, and equipment across the UK before its eventual decline and closure.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: JJB Sports Target entity description: JJB Sports was a major British sports retail chain known for selling sporting goods, apparel, and equipment across the UK before its eventual decline and closure.
-
A.
JD Sports
JD Sports is a major UK-based retail chain specializing in branded sportswear, footwear, and athletic fashion.
-
B.
SportChek
SportChek is a major Canadian retail chain specializing in sporting goods, athletic apparel, and related equipment.
-
C.
Dick's Sporting Goods
Dick's Sporting Goods is a major American retail chain specializing in sporting goods, apparel, footwear, and outdoor equipment.
-
D.
Decathlon
Decathlon is a classic multi-sport track and field video game designed by David Crane, known for challenging players to compete across ten Olympic-style events.
-
E.
Bestsport
Bestsport is a Czech sports and entertainment management company known for operating major venues and events, including Prague’s O2 Arena.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970fd15888190baf90fc30f2a3e25 |
completed | April 10, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a5556fe081909ada9d491b21b17b |
completed | May 3, 2026, 1:31 a.m. |
| NEDg | Description generation | batch_69f6a616f6e4819096c9850434882548 |
completed | May 3, 2026, 1:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6a716bb2c81909dccc5ddbf3c92b5 |
completed | May 3, 2026, 1:38 a.m. |
Created at: April 9, 2026, 5:39 p.m.