Triple

T2326036
Position Surface form Disambiguated ID Type / Status
Subject Cape Fear (1962 film) E48289 entity
Predicate character P662 FINISHED
Object Max Cady
Max Cady is a sadistic ex-convict who obsessively stalks and terrorizes the family of the lawyer he blames for his imprisonment in the thriller film "Cape Fear."
E255042 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: Max Cady | Statement: [Cape Fear (1962 film), character, Max Cady]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Max Cady
Context triple: [Cape Fear (1962 film), character, Max Cady]
  • A. Henry Tucker
    Henry Tucker was a Bermudian politician who became the territory's first premier and played a key role in modernizing its political and economic landscape.
  • B. Winston Silver
    Winston Silver is a lighter, lower-tar and nicotine variant of the Winston brand of cigarettes.
  • C. Mr. Franks
    Mr. Franks is a music producer best known for his work with the hip-hop collective Legend.
  • D. Richard Loeb
    Richard Loeb was an American university student and one of the infamous "Leopold and Loeb" duo who committed a highly publicized 1924 murder in Chicago.
  • E. Ross Malinger
    Ross Malinger is an American former child actor best known for playing Tom Hanks’s young son in the romantic comedy film "Sleepless in Seattle."
  • 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: Max Cady
Triple: [Cape Fear (1962 film), character, Max Cady]
Generated description
Max Cady is a sadistic ex-convict who obsessively stalks and terrorizes the family of the lawyer he blames for his imprisonment in the thriller film "Cape Fear."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Max Cady
Target entity description: Max Cady is a sadistic ex-convict who obsessively stalks and terrorizes the family of the lawyer he blames for his imprisonment in the thriller film "Cape Fear."
  • A. Henry Tucker
    Henry Tucker was a Bermudian politician who became the territory's first premier and played a key role in modernizing its political and economic landscape.
  • B. Winston Silver
    Winston Silver is a lighter, lower-tar and nicotine variant of the Winston brand of cigarettes.
  • C. Mr. Franks
    Mr. Franks is a music producer best known for his work with the hip-hop collective Legend.
  • D. Richard Loeb
    Richard Loeb was an American university student and one of the infamous "Leopold and Loeb" duo who committed a highly publicized 1924 murder in Chicago.
  • E. Ross Malinger
    Ross Malinger is an American former child actor best known for playing Tom Hanks’s young son in the romantic comedy film "Sleepless in Seattle."
  • 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_69a88aa308a88190b0b86c011fda7fce completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc64b62a08190b5a415769ce42645 completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae897004308190bc2e335e9caea2ca completed March 9, 2026, 8:48 a.m.
NEDg Description generation batch_69ae8ace309c8190b57426d1449de723 completed March 9, 2026, 8:54 a.m.
NED2 Entity disambiguation (via description) batch_69ae8b56d8548190aa6a99f3f7d99c3e completed March 9, 2026, 8:56 a.m.
Created at: March 4, 2026, 7:50 p.m.