Triple

T17961828
Position Surface form Disambiguated ID Type / Status
Subject John Kitzmiller E449101 entity
Predicate notableWork P4 FINISHED
Object The Angry Hills NE NERFINISHED

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: The Angry Hills | Statement: [John Kitzmiller, notableWork, The Angry Hills]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Angry Hills
Context triple: [John Kitzmiller, notableWork, The Angry Hills]
  • A. The Angry Hills chosen
    The Angry Hills is a 1959 war drama film set in Nazi-occupied Greece, known for its tense espionage plot and starring Robert Mitchum and Gia Scala.
  • B. Hungry Hill
    Hungry Hill is a prominent mountain on Ireland’s Beara Peninsula, known for its rugged terrain, scenic views, and popular hiking routes.
  • C. The Lonely Hills
    The Lonely Hills are a remote and sparsely inhabited highland region known for their isolation and rugged terrain.
  • D. The Walking Hills
    The Walking Hills is a 1949 American Western film noir that blends a treasure-hunt plot with psychological drama, directed by John Sturges.
  • E. The Burning Hills
    The Burning Hills is a 1956 Western film starring Tab Hunter and Natalie Wood, adapted from a novel by Louis L’Amour.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f8cca8819099836916c56b7c95 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b132cc10819088526a0b4b098d69 completed April 19, 2026, 10:40 a.m.
Created at: April 10, 2026, 10:22 a.m.