Triple

T8776367
Position Surface form Disambiguated ID Type / Status
Subject Vamp E208592 entity
Predicate editedBy P1954 FINISHED
Object Marc Grossman
Marc Grossman is an editor known for his work on the publication "Vamp."
 E756419 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 Grossman | Statement: [Vamp, editedBy, Marc Grossman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marc Grossman
Context triple: [Vamp, editedBy, Marc Grossman]
  • A. Mark Sloan
    Mark Sloan is a fictional plastic surgeon and attending physician on the television series "Grey's Anatomy," known for his charismatic personality and central role in several major storylines.
  • B. Dr. Eric Foreman
    Dr. Eric Foreman is a neurologist and member of Dr. Gregory House’s diagnostic team on the medical drama series "House," known for his professionalism, moral convictions, and often serving as House’s ethical counterpoint.
  • C. Christopher Chulack
    Christopher Chulack is an American television director and producer best known for his work on acclaimed drama series such as ER and Southland.
  • D. Peter Robbins
    Peter Robbins was an American child actor best known as the original voice of Charlie Brown in the early Peanuts animated television specials.
  • E. Mark Shulman
    Mark Shulman is an American author best known for writing numerous children's books and humorous, educational titles for young readers.
  • 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 Grossman
Triple: [Vamp, editedBy, Marc Grossman]
Generated description
Marc Grossman is an editor known for his work on the publication "Vamp."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marc Grossman
Target entity description: Marc Grossman is an editor known for his work on the publication "Vamp."
  • A. Mark Sloan
    Mark Sloan is a fictional plastic surgeon and attending physician on the television series "Grey's Anatomy," known for his charismatic personality and central role in several major storylines.
  • B. Dr. Eric Foreman
    Dr. Eric Foreman is a neurologist and member of Dr. Gregory House’s diagnostic team on the medical drama series "House," known for his professionalism, moral convictions, and often serving as House’s ethical counterpoint.
  • C. Christopher Chulack
    Christopher Chulack is an American television director and producer best known for his work on acclaimed drama series such as ER and Southland.
  • D. Peter Robbins
    Peter Robbins was an American child actor best known as the original voice of Charlie Brown in the early Peanuts animated television specials.
  • E. Mark Shulman
    Mark Shulman is an American author best known for writing numerous children's books and humorous, educational titles for young readers.
  • 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_69ca835fbee88190bf625939bac48d7f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f5086088190b317cf2aac7bee83 completed March 31, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51ceee2c81908d521cc4931e25dd completed April 3, 2026, 5:36 a.m.
NEDg Description generation batch_69cf53a27e2c8190a639d3b1007c11c3 completed April 3, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69cf54129d888190b61d67f99ad36cb8 completed April 3, 2026, 5:45 a.m.
Created at: March 30, 2026, 6:42 p.m.