Triple

T6189616
Position Surface form Disambiguated ID Type / Status
Subject John Collee E138151 entity
Predicate collaboratedWith P435 FINISHED
Object Anthony Maras
Anthony Maras is an Australian film director and screenwriter best known for the critically acclaimed thriller "Hotel Mumbai."
E580889 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: Anthony Maras | Statement: [John Collee, collaboratedWith, Anthony Maras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anthony Maras
Context triple: [John Collee, collaboratedWith, Anthony Maras]
  • A. Peter Maranian
    Peter Maranian is the husband of Pulitzer Prize–winning American columnist and author Ellen Goodman.
  • B. Michael Ferraro
    Michael Ferraro is a co-founder of Blue Sky Studios, the acclaimed animation company behind films such as the Ice Age series.
  • C. Michael De Luca
    Michael De Luca is an American film producer and studio executive known for overseeing and producing a wide range of major Hollywood films across genres.
  • D. Gregory Romano
    Gregory Romano is one of the sons of American comedian and actor Ray Romano.
  • E. Daniel Palladino
    Daniel Palladino is an American television writer, producer, and director best known for his work on series like "The Marvelous Mrs. Maisel" and "Gilmore Girls."
  • 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: Anthony Maras
Triple: [John Collee, collaboratedWith, Anthony Maras]
Generated description
Anthony Maras is an Australian film director and screenwriter best known for the critically acclaimed thriller "Hotel Mumbai."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anthony Maras
Target entity description: Anthony Maras is an Australian film director and screenwriter best known for the critically acclaimed thriller "Hotel Mumbai."
  • A. Peter Maranian
    Peter Maranian is the husband of Pulitzer Prize–winning American columnist and author Ellen Goodman.
  • B. Michael Ferraro
    Michael Ferraro is a co-founder of Blue Sky Studios, the acclaimed animation company behind films such as the Ice Age series.
  • C. Michael De Luca
    Michael De Luca is an American film producer and studio executive known for overseeing and producing a wide range of major Hollywood films across genres.
  • D. Gregory Romano
    Gregory Romano is one of the sons of American comedian and actor Ray Romano.
  • E. Daniel Palladino
    Daniel Palladino is an American television writer, producer, and director best known for his work on series like "The Marvelous Mrs. Maisel" and "Gilmore Girls."
  • 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_69c008a8fd408190b7ec6e42934974a6 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0621abad48190acb9ec019c065ed4 completed March 22, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c243d333e48190b1cb9ffd769f5473 completed March 24, 2026, 7:57 a.m.
NEDg Description generation batch_69c4fb66b8e8819090524d1ef12688a7 completed March 26, 2026, 9:24 a.m.
NED2 Entity disambiguation (via description) batch_69c4fc3065bc81908d95fbd3d4655c76 completed March 26, 2026, 9:28 a.m.
Created at: March 22, 2026, 4:19 p.m.