Triple

T13498677
Position Surface form Disambiguated ID Type / Status
Subject Kent Smith E320826 entity
Predicate notableWork P4 FINISHED
Object The Damned Don’t Cry E763211 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: The Damned Don’t Cry | Statement: [Kent Smith, notableWork, The Damned Don’t Cry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Damned Don’t Cry
Context triple: [Kent Smith, notableWork, The Damned Don’t Cry]
  • A. The Damned Don’t Cry chosen
    The Damned Don’t Cry is a 1950 film noir crime drama starring Joan Crawford as an ambitious woman who becomes entangled in the dangerous world of organized crime.
  • B. The Damned Things
    The Damned Things is a hard rock supergroup featuring members of bands like Fall Out Boy and Anthrax.
  • C. Damned
    Damned is a darkly comic horror novel by Chuck Palahniuk that follows a dead teenage girl navigating a satirical version of Hell.
  • D. One Last Cry
    "One Last Cry" is a 1990s R&B ballad by Brian McKnight known for its emotional lyrics and powerful vocal performance.
  • E. A Kiss Before Dying
    A Kiss Before Dying is a 1956 American film noir thriller, based on Ira Levin’s novel, about a charming but ruthless young man who resorts to murder to secure wealth and social status.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf4fab688190bdc746985b0c7338 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75485af6c8190a43ccab5449f5014 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:43 p.m.