Triple

T13704869
Position Surface form Disambiguated ID Type / Status
Subject Thomas Kent E328613 entity
Predicate createdBy P806 FINISHED
Object Marc Norman
Marc Norman is an American screenwriter and producer best known for co-writing the Oscar-winning film "Shakespeare in Love."
E62616 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: Marc Norman | Statement: [Thomas Kent, createdBy, Marc Norman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marc Norman
Context triple: [Thomas Kent, createdBy, Marc Norman]
  • A. Nigel Browne
    Nigel Browne is a person known primarily by the surname Browne, though no widely recognized public figure by this exact name is clearly identifiable from the given information.
  • B. Mark Ormerod
    Mark Ormerod is a senior British civil servant who has served as the Chief Executive of the Supreme Court of the United Kingdom, overseeing its administration and operations.
  • C. 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."
  • D. Nigel Hess
    Nigel Hess is a British composer best known for his work on television, film, and theatre scores, including numerous BBC dramas and stage productions.
  • E. Phil Woolpert
    Phil Woolpert was a prominent American college basketball coach best known for leading the University of San Francisco to multiple national championships in the 1950s.
  • 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: Marc Norman
Triple: [Thomas Kent, createdBy, Marc Norman]
Generated description
Marc Norman is an American screenwriter and producer best known for co-writing the Oscar-winning film "Shakespeare in Love."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marc Norman
Target entity description: Marc Norman is an American screenwriter and producer best known for co-writing the Oscar-winning film "Shakespeare in Love."
  • A. Marc Norman chosen
    Marc Norman is an American screenwriter and producer best known for co-writing the Oscar-winning film "Shakespeare in Love."
  • B. Nigel Browne
    Nigel Browne is a person known primarily by the surname Browne, though no widely recognized public figure by this exact name is clearly identifiable from the given information.
  • C. Mark Ormerod
    Mark Ormerod is a senior British civil servant who has served as the Chief Executive of the Supreme Court of the United Kingdom, overseeing its administration and operations.
  • D. 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."
  • E. Nigel Hess
    Nigel Hess is a British composer best known for his work on television, film, and theatre scores, including numerous BBC dramas and stage productions.
  • F. None of above.

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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dcad17732c8190bbd0d73107711c99 completed April 13, 2026, 8:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7945b63288190819621830ac1c0d6 completed May 3, 2026, 6:30 p.m.
NEDg Description generation batch_69f796df515c819080a95621a8308629 completed May 3, 2026, 6:41 p.m.
NED2 Entity disambiguation (via description) batch_69f7976846308190b1a5c056609fca34 completed May 3, 2026, 6:43 p.m.
Created at: April 9, 2026, 9:54 p.m.