Triple

T10917309
Position Surface form Disambiguated ID Type / Status
Subject Wes Craven filmography E257858 entity
Predicate includesWork P2011 FINISHED
Object Deadly Friend E894416 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: Deadly Friend | Statement: [Wes Craven filmography, includesWork, Deadly Friend]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deadly Friend
Context triple: [Wes Craven filmography, includesWork, Deadly Friend]
  • A. Deadly Friend chosen
    Deadly Friend is a 1986 science fiction horror film that blends robotics and supernatural elements, directed by genre filmmaker Wes Craven.
  • B. Bury a Friend
    "Bury a Friend" is a dark, minimalist electropop song by Billie Eilish that helped define her eerie aesthetic and propelled her rise to global fame.
  • C. Bad Friend
    "Bad Friend" is a synth-pop song by Rina Sawayama that explores the emotional fallout of a broken friendship with cinematic production and confessional lyrics.
  • D. Deadly Cross
    Deadly Cross is a crime thriller novel in James Patterson’s long-running Alex Cross series, following the detective as he investigates a high-profile double murder in Washington, D.C.
  • E. My Mortal Enemy
    "My Mortal Enemy" is a 1926 novel by Willa Cather that explores themes of love, sacrifice, and disillusionment through the story of a woman who abandons wealth and security for a romantic marriage that later unravels.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7707ebdcc8190b42cafe21c667c82 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23bbf70688190be9315a75582dbe2 completed April 17, 2026, 1:55 p.m.
Created at: April 8, 2026, 9:22 p.m.