Triple

T13844856
Position Surface form Disambiguated ID Type / Status
Subject Peggy Bowden E332771 entity
Predicate threatenedBy P956 FINISHED
Object Max Cady E255042 NE FINISHED

How this triple was built (2 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: [Peggy Bowden, threatenedBy, Max Cady]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Max Cady
Context triple: [Peggy Bowden, threatenedBy, Max Cady]
  • A. Max Cady chosen
    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."
  • B. Mal Cobb
    Mal Cobb is a central character in the film "Inception," known as Dom Cobb's deceased wife whose haunting presence blurs the line between reality and dream in his subconscious.
  • C. Robert Hobbs
    Robert Hobbs is an actor known for his role in the film "Longford" and various other screen and stage performances.
  • D. 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.
  • E. Harry Caul
    Harry Caul is a reclusive, morally conflicted surveillance expert whose obsessive dedication to privacy and professional detachment drives the psychological tension in the film.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02b1a25c8190a9f85ba43c421188 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8f87c188190b90faf7678cb9ad4 completed May 3, 2026, 9:07 p.m.
Created at: April 9, 2026, 10:13 p.m.