Triple

T14745543
Position Surface form Disambiguated ID Type / Status
Subject Marco Leonardi E346458 entity
Predicate participatedIn P149 FINISHED
Object Mary
Mary is a film featuring Italian actor Marco Leonardi in its cast.
E1117217 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: Mary | Statement: [Marco Leonardi, participatedIn, Mary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary
Context triple: [Marco Leonardi, participatedIn, Mary]
  • A. Mary
    Mary of Waltham, Duchess of Brittany, was a 14th-century English princess and daughter of King Edward III who became duchess through her marriage to John IV, Duke of Brittany.
  • B. Mary
    Mary is the middle name of Edith Tolkien, the wife of author J.R.R. Tolkien.
  • C. Mary
    Mary is the birth name of American actress, comedian, and writer Lily Tomlin, known for her groundbreaking work in television, film, and theater.
  • D. Mary
    Mary is a character portrayed by actress and filmmaker Alice Englert.
  • E. Mary
    Mary is the given name of American author Mary E. Wilkins Freeman, known for her regionalist short stories and novels depicting New England village life and women’s experiences.
  • 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: Mary
Triple: [Marco Leonardi, participatedIn, Mary]
Generated description
Mary is a film featuring Italian actor Marco Leonardi in its cast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mary
Target entity description: Mary is a film featuring Italian actor Marco Leonardi in its cast.
  • A. Mary chosen
    Mary is a film featuring Italian actor Marco Leonardi, known for his roles in internationally acclaimed cinema.
  • B. Mary
    Mary is a character portrayed by actress and filmmaker Alice Englert.
  • C. Mary
    Mary is a fictional character portrayed by British actress Gemma Jones, known for her nuanced performances in film and television.
  • D. Mary
    Mary is the given name of American character actress Marjorie Main, known for her roles in classic Hollywood films.
  • E. Mary
    Mary is the given name of American silent film actress Mae Marsh, known for her roles in early 20th-century cinema.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d002708190a32a4a45e96fc389 completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0ce843a481908f376172d4a8b70a completed May 8, 2026, 4:18 p.m.
NEDg Description generation batch_69fe13669908819092e555eaa85a5e8c completed May 8, 2026, 4:46 p.m.
NED2 Entity disambiguation (via description) batch_69fe13e4d464819093d796629ae593e8 completed May 8, 2026, 4:48 p.m.
Created at: April 10, 2026, 1:30 a.m.