Triple

T16148037
Position Surface form Disambiguated ID Type / Status
Subject Thirteen Reasons Why E391837 entity
Predicate executiveProducer P7225 FINISHED
Object Joy Gorman Wettels
Joy Gorman Wettels is a television and film producer best known for her work on the Netflix drama series "Thirteen Reasons Why."
E1203415 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: Joy Gorman Wettels | Statement: [Thirteen Reasons Why, executiveProducer, Joy Gorman Wettels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joy Gorman Wettels
Context triple: [Thirteen Reasons Why, executiveProducer, Joy Gorman Wettels]
  • A. Laura Marano
    Laura Marano is an American actress and singer best known for starring as Ally Dawson on the Disney Channel series "Austin & Ally."
  • B. Kelsey Dohring
    Kelsey Dohring is an actress known for playing Chrissy Seaver on the television sitcom "Growing Pains."
  • C. Alycia Debnam-Carey
    Alycia Debnam-Carey is an Australian actress best known for her prominent roles in television series such as Fear the Walking Dead and The 100.
  • D. Haley Hudson
    Haley Hudson is an American actress best known for her roles in horror and supernatural films and television series.
  • E. Nicole Eggert
    Nicole Eggert is an American actress best known for her role as Summer Quinn on the television series "Baywatch."
  • 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: Joy Gorman Wettels
Triple: [Thirteen Reasons Why, executiveProducer, Joy Gorman Wettels]
Generated description
Joy Gorman Wettels is a television and film producer best known for her work on the Netflix drama series "Thirteen Reasons Why."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Joy Gorman Wettels
Target entity description: Joy Gorman Wettels is a television and film producer best known for her work on the Netflix drama series "Thirteen Reasons Why."
  • A. Laura Marano
    Laura Marano is an American actress and singer best known for starring as Ally Dawson on the Disney Channel series "Austin & Ally."
  • B. Kelsey Dohring
    Kelsey Dohring is an actress known for playing Chrissy Seaver on the television sitcom "Growing Pains."
  • C. Alycia Debnam-Carey
    Alycia Debnam-Carey is an Australian actress best known for her prominent roles in television series such as Fear the Walking Dead and The 100.
  • D. Haley Hudson
    Haley Hudson is an American actress best known for her roles in horror and supernatural films and television series.
  • E. Nicole Eggert
    Nicole Eggert is an American actress best known for her role as Summer Quinn on the television series "Baywatch."
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21d9551e081908391061b092ff31b completed April 17, 2026, 11:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0017a45620819098ab5fa50e73e7a9 completed May 10, 2026, 5:29 a.m.
NEDg Description generation batch_6a0018be4b8c8190b68001465b9af949 completed May 10, 2026, 5:33 a.m.
NED2 Entity disambiguation (via description) batch_6a00198af20c819087cfa7d01b3afdec completed May 10, 2026, 5:37 a.m.
Created at: April 10, 2026, 5:01 a.m.