Triple

T8486062
Position Surface form Disambiguated ID Type / Status
Subject The Lady in the Van E200834 entity
Predicate starring P1507 FINISHED
Object Roger Sloman
Roger Sloman is a British character actor known for his work in film, television, and theatre, often appearing in comedic and dramatic supporting roles.
 E736142 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: Roger Sloman | Statement: [The Lady in the Van, starring, Roger Sloman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Roger Sloman
Context triple: [The Lady in the Van, starring, Roger Sloman]
  • A. John Sloman
    John Sloman is a Welsh rock singer and keyboardist best known for his work with bands like Uriah Heep and Lone Star as well as his solo projects.
  • B. Nigel Sears
    Nigel Sears is a British tennis coach best known for working with several top WTA players, including former world No. 1 Ana Ivanovic.
  • C. Geoffrey Haslam
    Geoffrey Haslam is a record producer best known for his work on Bette Midler’s debut album "The Divine Miss M."
  • D. Douglas Slocombe
    Douglas Slocombe was a renowned British cinematographer celebrated for his work on numerous classic films, including major entries in the Indiana Jones series.
  • E. Nigel Shadbolt
    Nigel Shadbolt is a British computer scientist and artificial intelligence researcher known for his leading role in promoting open data and digital governance.
  • 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: Roger Sloman
Triple: [The Lady in the Van, starring, Roger Sloman]
Generated description
Roger Sloman is a British character actor known for his work in film, television, and theatre, often appearing in comedic and dramatic supporting roles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Roger Sloman
Target entity description: Roger Sloman is a British character actor known for his work in film, television, and theatre, often appearing in comedic and dramatic supporting roles.
  • A. John Sloman
    John Sloman is a Welsh rock singer and keyboardist best known for his work with bands like Uriah Heep and Lone Star as well as his solo projects.
  • B. Nigel Sears
    Nigel Sears is a British tennis coach best known for working with several top WTA players, including former world No. 1 Ana Ivanovic.
  • C. Geoffrey Haslam
    Geoffrey Haslam is a record producer best known for his work on Bette Midler’s debut album "The Divine Miss M."
  • D. Douglas Slocombe
    Douglas Slocombe was a renowned British cinematographer celebrated for his work on numerous classic films, including major entries in the Indiana Jones series.
  • E. Nigel Shadbolt
    Nigel Shadbolt is a British computer scientist and artificial intelligence researcher known for his leading role in promoting open data and digital governance.
  • 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_69ca831d7b148190a6e32c1de43ab13b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe53c4d608190a766c0e919a4b96f completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a45e30c8190838ac499bbc66fbd completed April 2, 2026, 9:43 a.m.
NEDg Description generation batch_69ce3c22f3c0819084803630d438c55e completed April 2, 2026, 9:51 a.m.
NED2 Entity disambiguation (via description) batch_69ce3ca57ec081909a14d962eee2c9a5 completed April 2, 2026, 9:53 a.m.
Created at: March 30, 2026, 6:12 p.m.