Triple

T9480278
Position Surface form Disambiguated ID Type / Status
Subject Kagan E228617 entity
Predicate hasNotableBearer P458 FINISHED
Object Norman Kagan
Norman Kagan was an American film critic and author known for his writings on cinema and popular culture.
E812819 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: Norman Kagan | Statement: [Kagan, hasNotableBearer, Norman Kagan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norman Kagan
Context triple: [Kagan, hasNotableBearer, Norman Kagan]
  • A. Sidney B. Kramer
    Sidney B. Kramer was an American publisher best known as a co-founder of the mass-market paperback company Bantam Books.
  • B. John L. Friedman
    John L. Friedman is an American theoretical physicist known for his contributions to relativistic astrophysics and gravitational physics, including work on instabilities in rotating stars.
  • C. Milton Shulman
    Milton Shulman was a Canadian-born British theatre, film, and television critic best known for his long tenure at the London Evening Standard and his influential writings on popular culture.
  • D. Edward A. Garmatz
    Edward A. Garmatz was a long-serving U.S. Congressman from Maryland who represented Baltimore in the House of Representatives in the mid-20th century.
  • E. Neil A. Machlis
    Neil A. Machlis is a film producer best known for his work on major Hollywood comedies, including the classic road-trip film "Planes, Trains and Automobiles."
  • 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: Norman Kagan
Triple: [Kagan, hasNotableBearer, Norman Kagan]
Generated description
Norman Kagan was an American film critic and author known for his writings on cinema and popular culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Norman Kagan
Target entity description: Norman Kagan was an American film critic and author known for his writings on cinema and popular culture.
  • A. Sidney B. Kramer
    Sidney B. Kramer was an American publisher best known as a co-founder of the mass-market paperback company Bantam Books.
  • B. John L. Friedman
    John L. Friedman is an American theoretical physicist known for his contributions to relativistic astrophysics and gravitational physics, including work on instabilities in rotating stars.
  • C. Milton Shulman
    Milton Shulman was a Canadian-born British theatre, film, and television critic best known for his long tenure at the London Evening Standard and his influential writings on popular culture.
  • D. Edward A. Garmatz
    Edward A. Garmatz was a long-serving U.S. Congressman from Maryland who represented Baltimore in the House of Representatives in the mid-20th century.
  • E. Neil A. Machlis
    Neil A. Machlis is a film producer best known for his work on major Hollywood comedies, including the classic road-trip film "Planes, Trains and Automobiles."
  • 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_69ca84730a5081908de282651019bf2f completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd8016813881908dafc026779c89c4 completed April 1, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69d189e601508190b116fca9854057bc completed April 4, 2026, 10 p.m.
NEDg Description generation batch_69d18aee8ef8819080ce061f3d145712 completed April 4, 2026, 10:04 p.m.
NED2 Entity disambiguation (via description) batch_69d18b34d14881909b8da862c12f8727 completed April 4, 2026, 10:05 p.m.
Created at: March 30, 2026, 7:54 p.m.