Triple

T1800978
Position Surface form Disambiguated ID Type / Status
Subject Dee Bradley Baker E39716 entity
Predicate spouse P13 FINISHED
Object Michelle Baker
Michelle Baker is the wife of prolific American voice actor Dee Bradley Baker, known for his extensive work in animation and video games.
 E220416 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: Michelle Baker | Statement: [Dee Bradley Baker, spouse, Michelle Baker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Michelle Baker
Context triple: [Dee Bradley Baker, spouse, Michelle Baker]
  • A. Michelle Cook
    Michelle Cook is an American woman best known as the first wife of television host and comedian David Letterman.
  • B. Michelle Beisner-Buck
    Michelle Beisner-Buck is an American sports reporter and former Denver Broncos cheerleader best known for her work as an NFL features reporter for ESPN.
  • C. Julie Buck
    Julie Buck is a member of the Buck family, known primarily as a relative of American sportscaster Joe Buck.
  • D. Emily Drinkard
    Emily Drinkard, better known as Cissy Houston, is an American soul and gospel singer and the mother of Whitney Houston.
  • E. Elizabeth Roboz
    Elizabeth Roboz was a Hungarian-American neurobiologist and biochemist known for her research on brain chemistry and her marriage to Hans Albert Einstein, the son of Albert Einstein.
  • 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: Michelle Baker
Triple: [Dee Bradley Baker, spouse, Michelle Baker]
Generated description
Michelle Baker is the wife of prolific American voice actor Dee Bradley Baker, known for his extensive work in animation and video games.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Michelle Baker
Target entity description: Michelle Baker is the wife of prolific American voice actor Dee Bradley Baker, known for his extensive work in animation and video games.
  • A. Michelle Cook
    Michelle Cook is an American woman best known as the first wife of television host and comedian David Letterman.
  • B. Michelle Beisner-Buck
    Michelle Beisner-Buck is an American sports reporter and former Denver Broncos cheerleader best known for her work as an NFL features reporter for ESPN.
  • C. Julie Buck
    Julie Buck is a member of the Buck family, known primarily as a relative of American sportscaster Joe Buck.
  • D. Emily Drinkard
    Emily Drinkard, better known as Cissy Houston, is an American soul and gospel singer and the mother of Whitney Houston.
  • E. Elizabeth Roboz
    Elizabeth Roboz was a Hungarian-American neurobiologist and biochemist known for her research on brain chemistry and her marriage to Hans Albert Einstein, the son of Albert Einstein.
  • 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_69a88632aa588190ba3978fde0db5bbd completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa656ad5d4819090e677ad137b0cd1 completed March 6, 2026, 5:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfb9c69488190abcbbf796176fca5 completed March 8, 2026, 10:43 p.m.
NEDg Description generation batch_69adfc50a3488190afe44ee5125d9ebd completed March 8, 2026, 10:46 p.m.
NED2 Entity disambiguation (via description) batch_69adfcdccce48190a2591b90c81ad084 completed March 8, 2026, 10:49 p.m.
Created at: March 4, 2026, 7:32 p.m.