Triple

T6140386
Position Surface form Disambiguated ID Type / Status
Subject The Great North E136945 entity
Predicate creator P184 FINISHED
Object Wendy Molyneux
Wendy Molyneux is an American television writer, producer, and showrunner best known for her work on animated comedies such as Bob’s Burgers and The Great North.
 E598172 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: Wendy Molyneux | Statement: [The Great North, creator, Wendy Molyneux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wendy Molyneux
Context triple: [The Great North, creator, Wendy Molyneux]
  • A. Julie Marsden
    Julie Marsden is the strong-willed, rebellious Southern belle portrayed by Bette Davis in the 1938 film "Jezebel."
  • B. Wendy Hall
    Wendy Hall is a pioneering British computer scientist and professor known for her influential work in hypermedia, the World Wide Web, and web science.
  • C. Wendy Benchley
    Wendy Benchley is an American ocean conservationist, environmental activist, and former political figure known for her leadership in marine protection and shark conservation.
  • D. Jennifer Mordaunt
    Jennifer Mordaunt is a relative of British Conservative politician Penny Mordaunt.
  • E. Deborah Watling
    Deborah Watling was an English actress best known for playing the companion Victoria Waterfield in the classic Doctor Who television series.
  • 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: Wendy Molyneux
Triple: [The Great North, creator, Wendy Molyneux]
Generated description
Wendy Molyneux is an American television writer, producer, and showrunner best known for her work on animated comedies such as Bob’s Burgers and The Great North.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wendy Molyneux
Target entity description: Wendy Molyneux is an American television writer, producer, and showrunner best known for her work on animated comedies such as Bob’s Burgers and The Great North.
  • A. Julie Marsden
    Julie Marsden is the strong-willed, rebellious Southern belle portrayed by Bette Davis in the 1938 film "Jezebel."
  • B. Wendy Hall
    Wendy Hall is a pioneering British computer scientist and professor known for her influential work in hypermedia, the World Wide Web, and web science.
  • C. Wendy Benchley
    Wendy Benchley is an American ocean conservationist, environmental activist, and former political figure known for her leadership in marine protection and shark conservation.
  • D. Jennifer Mordaunt
    Jennifer Mordaunt is a relative of British Conservative politician Penny Mordaunt.
  • E. Deborah Watling
    Deborah Watling was an English actress best known for playing the companion Victoria Waterfield in the classic Doctor Who television series.
  • 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_69c008a179388190a3b5a081bbf46d55 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05cb030fc8190b78e4967eea65611 completed March 22, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c669d473388190a6e998956dd48e7a completed March 27, 2026, 11:28 a.m.
NEDg Description generation batch_69c66a81aed88190aec406e089e7ae67 completed March 27, 2026, 11:31 a.m.
NED2 Entity disambiguation (via description) batch_69c66af35810819093fe01cde3426bc9 completed March 27, 2026, 11:33 a.m.
Created at: March 22, 2026, 4:15 p.m.