Triple

T10776697
Position Surface form Disambiguated ID Type / Status
Subject Zelig E254214 entity
Predicate starring P1507 FINISHED
Object John Buckwalter
John Buckwalter is an actor known for his role in Woody Allen’s mockumentary film "Zelig."
E885045 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: John Buckwalter | Statement: [Zelig, starring, John Buckwalter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Buckwalter
Context triple: [Zelig, starring, John Buckwalter]
  • A. Leland Robinson
    Leland Robinson is the son of influential music producer and Sugar Hill Records co-founder Sylvia Robinson.
  • B. David Allan Hubbard
    David Allan Hubbard was an American Old Testament scholar and longtime president of Fuller Theological Seminary, known for his influential leadership in evangelical theological education.
  • C. Samuel Stehman Haldeman
    Samuel Stehman Haldeman was a 19th-century American naturalist, philologist, and academic known for his influential work in linguistics and the natural sciences.
  • D. James L. McDevitt
    James L. McDevitt was an American public official who served as New York State’s Industrial Commissioner, overseeing labor and industrial policy for the state.
  • E. Alan E. Nourse
    Alan E. Nourse was an American science fiction author and physician known for works that often explored medical and social themes, including the novel "The Bladerunner."
  • 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: John Buckwalter
Triple: [Zelig, starring, John Buckwalter]
Generated description
John Buckwalter is an actor known for his role in Woody Allen’s mockumentary film "Zelig."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John Buckwalter
Target entity description: John Buckwalter is an actor known for his role in Woody Allen’s mockumentary film "Zelig."
  • A. Leland Robinson
    Leland Robinson is the son of influential music producer and Sugar Hill Records co-founder Sylvia Robinson.
  • B. David Allan Hubbard
    David Allan Hubbard was an American Old Testament scholar and longtime president of Fuller Theological Seminary, known for his influential leadership in evangelical theological education.
  • C. Samuel Stehman Haldeman
    Samuel Stehman Haldeman was a 19th-century American naturalist, philologist, and academic known for his influential work in linguistics and the natural sciences.
  • D. James L. McDevitt
    James L. McDevitt was an American public official who served as New York State’s Industrial Commissioner, overseeing labor and industrial policy for the state.
  • E. Alan E. Nourse
    Alan E. Nourse was an American science fiction author and physician known for works that often explored medical and social themes, including the novel "The Bladerunner."
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7329d8c908190bddad40685133ea1 completed April 9, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69de238ff88881908676d38dca041cb4 completed April 14, 2026, 11:22 a.m.
NEDg Description generation batch_69de271fb08c8190a44c547083226fd8 completed April 14, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_69de2cecc24c8190a240366e0600426a completed April 14, 2026, 12:02 p.m.
Created at: April 8, 2026, 9:16 p.m.