Triple

T17346443
Position Surface form Disambiguated ID Type / Status
Subject Bentham Professor of Jurisprudence E421698 entity
Predicate hasHeldBy P44019 FINISHED
Object Stephen Guest — NE ONDG

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: Stephen Guest | Statement: [Bentham Professor of Jurisprudence, hasHeldBy, Stephen Guest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stephen Guest
Context triple: [Bentham Professor of Jurisprudence, hasHeldBy, Stephen Guest]
  • A. Stephen Guest
    Stephen Guest is a charming yet morally conflicted young man in George Eliot’s novel "The Mill on the Floss," whose romantic entanglement with Maggie Tulliver drives much of the story’s emotional tension.
  • B. Nicholas Guest
    Nicholas Guest is an American character actor known for his extensive work in film, television, and voice acting since the late 1970s.
  • C. Martin Guest
    Martin Guest is a fictional character best known as the adoptive father of Lily Walsh in the soap opera "As the World Turns."
  • D. Christopher Belling
    Christopher Belling is a flamboyant, sharp-tongued English director character in the musical comedy whodunit "Curtains."
  • E. Graham Hess
    Graham Hess is a former Episcopal priest and widowed father who struggles with his faith while protecting his family during a mysterious alien invasion in the film "Signs."
  • 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: Stephen Guest
Triple: [Bentham Professor of Jurisprudence, hasHeldBy, Stephen Guest]
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stephen Guest
Target entity description: Stephen Guest is a legal philosopher and academic known for his contributions to jurisprudence and legal theory.
  • A. Stephen Guest
    Stephen Guest is a charming yet morally conflicted young man in George Eliot’s novel "The Mill on the Floss," whose romantic entanglement with Maggie Tulliver drives much of the story’s emotional tension.
  • B. Nicholas Guest
    Nicholas Guest is an American character actor known for his extensive work in film, television, and voice acting since the late 1970s.
  • C. Martin Guest
    Martin Guest is a fictional character best known as the adoptive father of Lily Walsh in the soap opera "As the World Turns."
  • D. Christopher Belling
    Christopher Belling is a flamboyant, sharp-tongued English director character in the musical comedy whodunit "Curtains."
  • E. Graham Hess
    Graham Hess is a former Episcopal priest and widowed father who struggles with his faith while protecting his family during a mysterious alien invasion in the film "Signs."
  • F. None of above. chosen

Provenance (4 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a2923b48190a5d1abd3f535c59f completed April 19, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0195546198819085804ec0b5b18040 completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a01965807cc819088792a88b8a099d3 in_progress May 11, 2026, 8:42 a.m.
Created at: April 10, 2026, 5:44 a.m.