Triple

T12120568
Position Surface form Disambiguated ID Type / Status
Subject Six Degrees E288681 entity
Predicate executiveProducer P7225 FINISHED
Object Thania St. John
Thania St. John is an American television writer and producer known for her work on numerous drama series, including serving as an executive producer on the show "Six Degrees."
 E962689 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: Thania St. John | Statement: [Six Degrees, executiveProducer, Thania St. John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thania St. John
Context triple: [Six Degrees, executiveProducer, Thania St. John]
  • A. Thea Gregory
    Thea Gregory was a British actress active in the mid-20th century, known for her roles in films such as the science fiction movie "Spaceways."
  • B. Marta Thomas
    Marta Thomas was the wife of Polish military leader and interwar statesman Eduard Rydz-Śmigły.
  • C. Denisia Andrews
    Denisia Andrews is a contemporary songwriter best known for co-writing major R&B and pop hits, including Beyoncé’s song “Cuff It.”
  • D. Laura Davenport
    Laura Davenport is the daughter of English actor Nigel Davenport.
  • E. Joanna Cassidy
    Joanna Cassidy is an American actress best known for her roles in films like Blade Runner and Who Framed Roger Rabbit, as well as numerous television appearances.
  • 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: Thania St. John
Triple: [Six Degrees, executiveProducer, Thania St. John]
Generated description
Thania St. John is an American television writer and producer known for her work on numerous drama series, including serving as an executive producer on the show "Six Degrees."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thania St. John
Target entity description: Thania St. John is an American television writer and producer known for her work on numerous drama series, including serving as an executive producer on the show "Six Degrees."
  • A. Thea Gregory
    Thea Gregory was a British actress active in the mid-20th century, known for her roles in films such as the science fiction movie "Spaceways."
  • B. Marta Thomas
    Marta Thomas was the wife of Polish military leader and interwar statesman Eduard Rydz-Śmigły.
  • C. Denisia Andrews
    Denisia Andrews is a contemporary songwriter best known for co-writing major R&B and pop hits, including Beyoncé’s song “Cuff It.”
  • D. Laura Davenport
    Laura Davenport is the daughter of English actor Nigel Davenport.
  • E. Joanna Cassidy
    Joanna Cassidy is an American actress best known for her roles in films like Blade Runner and Who Framed Roger Rabbit, as well as numerous television appearances.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91577a03c81909add7a5d7324a648 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f684172c81908b77daa243dc8ed8 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f5fdea1afc8190b39557fdc571e300 completed May 2, 2026, 1:36 p.m.
NED2 Entity disambiguation (via description) batch_69f5feeeeb2081908191b1c2d1c2fbfd completed May 2, 2026, 1:41 p.m.
Created at: April 8, 2026, 9:49 p.m.