Triple

T23284297
Position Surface form Disambiguated ID Type / Status
Subject Doyle Brunson E588946 entity
Predicate nickname P55 FINISHED
Object Texas Dolly
Texas Dolly is the legendary American poker player Doyle Brunson, a two-time World Series of Poker Main Event champion and one of the most influential figures in the history of the game.
 E1578446 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: Texas Dolly | Statement: [Doyle Brunson, nickname, Texas Dolly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Texas Dolly
Context triple: [Doyle Brunson, nickname, Texas Dolly]
  • A. Ree Dolly
    Ree Dolly is a resilient teenage girl in the Ozarks who embarks on a dangerous search for her missing father in the novel and film "Winter’s Bone."
  • B. Mrs. Dolly
    Mrs. Dolly is the mother of Ree Dolly, the determined teenage protagonist of Daniel Woodrell’s novel "Winter’s Bone."
  • C. Loretta
    Loretta is a feminine given name of Latin origin, often associated with the laurel tree and borne by various notable figures.
  • D. Dixie Kay Nelson
    Dixie Kay Nelson was the birth name of American actress and model Lori Nelson, known for her film and television roles in the 1950s.
  • E. Texas Lady
    Texas Lady is a 1955 Western film featuring Betty Lou Keim in a supporting role alongside Claudette Colbert.
  • 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: Texas Dolly
Triple: [Doyle Brunson, nickname, Texas Dolly]
Generated description
Texas Dolly is the legendary American poker player Doyle Brunson, a two-time World Series of Poker Main Event champion and one of the most influential figures in the history of the game.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Texas Dolly
Target entity description: Texas Dolly is the legendary American poker player Doyle Brunson, a two-time World Series of Poker Main Event champion and one of the most influential figures in the history of the game.
  • A. Ree Dolly
    Ree Dolly is a resilient teenage girl in the Ozarks who embarks on a dangerous search for her missing father in the novel and film "Winter’s Bone."
  • B. Mrs. Dolly
    Mrs. Dolly is the mother of Ree Dolly, the determined teenage protagonist of Daniel Woodrell’s novel "Winter’s Bone."
  • C. Loretta
    Loretta is a feminine given name of Latin origin, often associated with the laurel tree and borne by various notable figures.
  • D. Dixie Kay Nelson
    Dixie Kay Nelson was the birth name of American actress and model Lori Nelson, known for her film and television roles in the 1950s.
  • E. Texas Lady
    Texas Lady is a 1955 Western film featuring Betty Lou Keim in a supporting role alongside Claudette Colbert.
  • 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, 4:58 p.m.