Triple
T23284426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Negreanu |
E588948
|
entity |
| Predicate | sponsoredBy |
P67
|
FINISHED |
| Object |
GGPoker
GGPoker is a major online poker platform known for its high-profile sponsorships, innovative software features, and hosting of large international tournament series.
|
E1578462
|
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: GGPoker | Statement: [Daniel Negreanu, sponsoredBy, GGPoker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GGPoker Context triple: [Daniel Negreanu, sponsoredBy, GGPoker]
-
A.
PokerGO
PokerGO is a subscription-based streaming service dedicated to live and on-demand coverage of major poker events and original poker programming.
-
B.
Poker Club
Poker Club was an 18th-century Edinburgh social and political club associated with the Scottish Enlightenment and advocacy for a Scottish militia.
-
C.
Poker
Poker was a well-bred American Thoroughbred racehorse and influential sire known primarily for his impact on bloodlines rather than racing success.
-
D.
World Poker Tour
The World Poker Tour is a globally televised series of high-stakes poker tournaments that helped popularize professional poker in the 2000s.
-
E.
GGP
GGP is a publicly traded real estate investment trust best known for owning and operating major shopping malls and retail properties across the United States.
- 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: GGPoker Triple: [Daniel Negreanu, sponsoredBy, GGPoker]
Generated description
GGPoker is a major online poker platform known for its high-profile sponsorships, innovative software features, and hosting of large international tournament series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GGPoker Target entity description: GGPoker is a major online poker platform known for its high-profile sponsorships, innovative software features, and hosting of large international tournament series.
-
A.
PokerGO
PokerGO is a subscription-based streaming service dedicated to live and on-demand coverage of major poker events and original poker programming.
-
B.
Poker Club
Poker Club was an 18th-century Edinburgh social and political club associated with the Scottish Enlightenment and advocacy for a Scottish militia.
-
C.
Poker
Poker was a well-bred American Thoroughbred racehorse and influential sire known primarily for his impact on bloodlines rather than racing success.
-
D.
World Poker Tour
The World Poker Tour is a globally televised series of high-stakes poker tournaments that helped popularize professional poker in the 2000s.
-
E.
GGP
GGP is a publicly traded real estate investment trust best known for owning and operating major shopping malls and retail properties across the United States.
- 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196454b4c8190a797537ce8912241 |
completed | April 29, 2026, 5:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3f813f248190b56ed6a7fc074989 |
completed | May 19, 2026, 10:46 a.m. |
| NEDg | Description generation | batch_6a0c405ca9e081908adeedd69acb8ed2 |
completed | May 19, 2026, 10:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c443c4540819096f1a41d9c24a706 |
completed | May 19, 2026, 11:06 a.m. |
Created at: April 17, 2026, 4:59 p.m.