Triple

T4109644
Position Surface form Disambiguated ID Type / Status
Subject Dee Dee Bridgewater E88540 entity
Predicate birthName P65 FINISHED
Object Denise Eileen Garrett
Denise Eileen Garrett is the birth name of Dee Dee Bridgewater, an acclaimed American jazz singer, actress, and multiple Grammy and Tony Award winner.
 E414219 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: Denise Eileen Garrett | Statement: [Dee Dee Bridgewater, birthName, Denise Eileen Garrett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Denise Eileen Garrett
Context triple: [Dee Dee Bridgewater, birthName, Denise Eileen Garrett]
  • A. Denise Richard
    Denise Richard is the mother of Martin Richard, the young boy who was killed in the 2013 Boston Marathon bombing.
  • B. Diane Chambers
    Diane Chambers is an intelligent, sophisticated, and often pretentious waitress and love interest of Sam Malone on the classic American sitcom "Cheers."
  • C. Ruby Aldridge
    Ruby Aldridge is an American fashion model known for her runway and editorial work with major designers and magazines.
  • D. Thelma Evans
    Thelma Evans is a central character on the 1970s sitcom "Good Times," known as the smart, independent, and strong-willed daughter of the Evans family.
  • E. Marianne Stewart
    Marianne Stewart was an American actress active in mid-20th-century film, television, and theater.
  • 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: Denise Eileen Garrett
Triple: [Dee Dee Bridgewater, birthName, Denise Eileen Garrett]
Generated description
Denise Eileen Garrett is the birth name of Dee Dee Bridgewater, an acclaimed American jazz singer, actress, and multiple Grammy and Tony Award winner.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Denise Eileen Garrett
Target entity description: Denise Eileen Garrett is the birth name of Dee Dee Bridgewater, an acclaimed American jazz singer, actress, and multiple Grammy and Tony Award winner.
  • A. Denise Richard
    Denise Richard is the mother of Martin Richard, the young boy who was killed in the 2013 Boston Marathon bombing.
  • B. Diane Chambers
    Diane Chambers is an intelligent, sophisticated, and often pretentious waitress and love interest of Sam Malone on the classic American sitcom "Cheers."
  • C. Ruby Aldridge
    Ruby Aldridge is an American fashion model known for her runway and editorial work with major designers and magazines.
  • D. Thelma Evans
    Thelma Evans is a central character on the 1970s sitcom "Good Times," known as the smart, independent, and strong-willed daughter of the Evans family.
  • E. Marianne Stewart
    Marianne Stewart was an American actress active in mid-20th-century film, television, and theater.
  • 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_69aed9484fb881909146f4c772ad277c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af01dbe9808190aefdc89e426cc4de completed March 9, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b850d588190a0fc4b784bc7ca4f completed March 14, 2026, 2:07 p.m.
NEDg Description generation batch_69b56f7c95988190991350cfbdda9dde completed March 14, 2026, 2:23 p.m.
NED2 Entity disambiguation (via description) batch_69b56fd9293c8190ac60091bc4c447ef completed March 14, 2026, 2:25 p.m.
Created at: March 9, 2026, 3:41 p.m.