Triple

T16450423
Position Surface form Disambiguated ID Type / Status
Subject Every Man in His Humour E399535 entity
Predicate featuresCharacter P626 FINISHED
Object Young Knowell
Young Knowell is a character in Ben Jonson’s Elizabethan comedy "Every Man in His Humour," typically portrayed as the spirited and somewhat wayward son whose behavior worries his father.
 E1213070 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: Young Knowell | Statement: [Every Man in His Humour, featuresCharacter, Young Knowell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Young Knowell
Context triple: [Every Man in His Humour, featuresCharacter, Young Knowell]
  • A. Edward Knowles
    Edward Knowles is an architect best known for his role in designing the modernist Boston City Hall.
  • B. Andrew Wells
    Andrew Wells is a music producer known for his work on the album "Hurts 2B Human."
  • C. Dean Wellins
    Dean Wellins is an American animator, storyboard artist, and director known for his work on major Disney animated films such as Bolt and Tangled.
  • D. Ben Carruthers
    Ben Carruthers was an American actor best known for his role in John Cassavetes’ influential independent film "Shadows" (1959).
  • E. Conrad Sewell
    Conrad Sewell is an Australian singer-songwriter known for his soulful pop vocals and collaborations on international hits.
  • 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: Young Knowell
Triple: [Every Man in His Humour, featuresCharacter, Young Knowell]
Generated description
Young Knowell is a character in Ben Jonson’s Elizabethan comedy "Every Man in His Humour," typically portrayed as the spirited and somewhat wayward son whose behavior worries his father.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Young Knowell
Target entity description: Young Knowell is a character in Ben Jonson’s Elizabethan comedy "Every Man in His Humour," typically portrayed as the spirited and somewhat wayward son whose behavior worries his father.
  • A. Edward Knowles
    Edward Knowles is an architect best known for his role in designing the modernist Boston City Hall.
  • B. Andrew Wells
    Andrew Wells is a music producer known for his work on the album "Hurts 2B Human."
  • C. Dean Wellins
    Dean Wellins is an American animator, storyboard artist, and director known for his work on major Disney animated films such as Bolt and Tangled.
  • D. Ben Carruthers
    Ben Carruthers was an American actor best known for his role in John Cassavetes’ influential independent film "Shadows" (1959).
  • E. Conrad Sewell
    Conrad Sewell is an Australian singer-songwriter known for his soulful pop vocals and collaborations on international hits.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32cdfb0ec8190b75c4e6f4aceb200 completed April 18, 2026, 7:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0045979c588190b6f7b249147f3174 completed May 10, 2026, 8:45 a.m.
NEDg Description generation batch_6a00472cdc2881908211045515cd21ee completed May 10, 2026, 8:51 a.m.
NED2 Entity disambiguation (via description) batch_6a0047b64ed48190bf3ef07688c1a283 completed May 10, 2026, 8:54 a.m.
Created at: April 10, 2026, 5:10 a.m.