Triple

T16450419
Position Surface form Disambiguated ID Type / Status
Subject Every Man in His Humour E399535 entity
Predicate featuresCharacter P626 FINISHED
Object Kitely
Kitely is a jealous London merchant and one of the central comic characters in Ben Jonson’s play "Every Man in His Humour."
 E1213925 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: Kitely | Statement: [Every Man in His Humour, featuresCharacter, Kitely]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kitely
Context triple: [Every Man in His Humour, featuresCharacter, Kitely]
  • A. Kubi
    Kubi is an alternative name for the Konda-Dora, an indigenous tribal community primarily residing in parts of eastern India.
  • B. Tikkana
    Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
  • C. Kestel
    Kestel is a town and district in northwestern Turkey, situated near the city of Bursa in Bursa Province.
  • D. Kikki
    Kikki is a Swedish country, dansband, and schlager singer best known for her solo career and as a member of groups like Chips and Wizex.
  • E. Tenji
    Tenji was a Japanese era name (nengō) used during the reign of Emperor Toba in the early 12th century.
  • 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: Kitely
Triple: [Every Man in His Humour, featuresCharacter, Kitely]
Generated description
Kitely is a jealous London merchant and one of the central comic characters in Ben Jonson’s play "Every Man in His Humour."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kitely
Target entity description: Kitely is a jealous London merchant and one of the central comic characters in Ben Jonson’s play "Every Man in His Humour."
  • A. Kubi
    Kubi is an alternative name for the Konda-Dora, an indigenous tribal community primarily residing in parts of eastern India.
  • B. Tikkana
    Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
  • C. Kestel
    Kestel is a town and district in northwestern Turkey, situated near the city of Bursa in Bursa Province.
  • D. Kikki
    Kikki is a Swedish country, dansband, and schlager singer best known for her solo career and as a member of groups like Chips and Wizex.
  • E. Tenji
    Tenji was a Japanese era name (nengō) used during the reign of Emperor Toba in the early 12th century.
  • 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_6a0047b4b6688190afef52b39788ceae completed May 10, 2026, 8:54 a.m.
Created at: April 10, 2026, 5:10 a.m.