Triple

T19470742
Position Surface form Disambiguated ID Type / Status
Subject Young Mungo E487114 entity
Predicate hasLGBTCharacter P88125 FINISHED
Object James
James is a central queer character in Douglas Stuart’s novel "Young Mungo," whose experiences explore themes of sexuality, masculinity, and working-class life in Glasgow.
E1378906 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: James | Statement: [Young Mungo, hasLGBTCharacter, James]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James
Context triple: [Young Mungo, hasLGBTCharacter, James]
  • A. John
    John is the given name of John Henry Patterson, an American industrialist and founder of the National Cash Register Company.
  • B. John
    John B. Magruder was a Confederate major general during the American Civil War, known for his leadership in the Peninsula Campaign and his flamboyant personality.
  • C. John
    John is the given name of the American poet and scholar John Berryman, a key figure in the confessional poetry movement.
  • D. John
    John, known historically as Infante John, Duke of Viseu, was a 15th-century Portuguese prince and nobleman from the House of Aviz.
  • E. John
    John is the given first name of Buck Freeman, an American professional baseball player from the late 19th and early 20th centuries.
  • 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: James
Triple: [Young Mungo, hasLGBTCharacter, James]
Generated description
James is a central queer character in Douglas Stuart’s novel "Young Mungo," whose experiences explore themes of sexuality, masculinity, and working-class life in Glasgow.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: James
Target entity description: James is a central queer character in Douglas Stuart’s novel "Young Mungo," whose experiences explore themes of sexuality, masculinity, and working-class life in Glasgow.
  • A. James
    James is an individual known primarily as the romantic partner of Victoria.
  • B. James
    James is a sadistic tracker vampire and one of the primary antagonists in Stephenie Meyer’s Twilight Saga, particularly prominent in the novel "Twilight" and its companion "Midnight Sun."
  • C. James
    James is a prominent early Christian figure, traditionally identified as James the brother of Jesus and a leader in the Jerusalem church.
  • D. James
    James is a supporting character in the dark comedy film "The Estate," involved in the chaotic family scheming over a wealthy aunt’s inheritance.
  • E. James
    James is a New Testament epistle traditionally attributed to James the brother of Jesus, emphasizing practical Christian ethics and the relationship between faith and works.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633e809008190b0021d41b99f9700 completed April 20, 2026, 2:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07404dfcb881909ed1a7ac20b6461e completed May 15, 2026, 3:48 p.m.
NEDg Description generation batch_6a0740ff37fc81908e68db633223fb9c completed May 15, 2026, 3:51 p.m.
NED2 Entity disambiguation (via description) batch_6a07424880e08190a582da18e3a6af19 completed May 15, 2026, 3:56 p.m.
Created at: April 10, 2026, 1:39 p.m.