Triple

T14173221
Position Surface form Disambiguated ID Type / Status
Subject Howard Berger E351262 entity
Predicate notableWork P4 FINISHED
Object Drag Me to Hell E321546 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: Drag Me to Hell | Statement: [Howard Berger, notableWork, Drag Me to Hell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Drag Me to Hell
Context triple: [Howard Berger, notableWork, Drag Me to Hell]
  • A. Drag Me to Hell chosen
    Drag Me to Hell is a 2009 supernatural horror film directed by Sam Raimi that blends intense scares with dark humor in a story about a cursed loan officer tormented by a vengeful spirit.
  • B. Straight to Hell
    "Straight to Hell" is a 1982 song by the British punk rock band The Clash, known for its haunting melody and politically charged lyrics about immigration and displacement.
  • C. What the Hell
    "What the Hell" is a pop-rock single by Canadian singer Avril Lavigne, released in 2011 as the lead track from her album "Goodbye Lullaby."
  • D. Fresh Hell
    Fresh Hell is a comedic web series in which actor Brent Spiner plays a fictionalized version of himself navigating a bizarre Hollywood downfall.
  • E. Touch the Devil
    Touch the Devil is a Cold War-era thriller novel by Jack Higgins featuring espionage, terrorism, and high-stakes covert operations.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b5dcbc8190b0cfcce5e6c6d582 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf80a9b34819081c4ebf7429e875a completed May 7, 2026, 8:37 p.m.
Created at: April 10, 2026, 1:01 a.m.