Triple

T16260943
Position Surface form Disambiguated ID Type / Status
Subject Niki Lauda E394750 entity
Predicate authoredWork P4 FINISHED
Object To Hell and Back E97934 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: To Hell and Back | Statement: [Niki Lauda, authoredWork, To Hell and Back]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: To Hell and Back
Context triple: [Niki Lauda, authoredWork, To Hell and Back]
  • A. Hell and Back
    Hell and Back is a hip-hop album by rapper Drag-On, showcasing his gritty East Coast style and lyrical storytelling.
  • B. Hell and Back
    Hell and Back is a Sin City graphic novel story arc by Frank Miller that follows a war veteran drawn into a violent conspiracy in the corrupt, noirish metropolis of Basin City.
  • C. To Hell and Back (autobiography) chosen
    To Hell and Back is the autobiographical account of Audie Murphy’s experiences as one of the most decorated American soldiers of World War II.
  • D. Devil's Ladder
    Devil's Ladder is a steep and rugged gully route commonly used by climbers and hikers ascending Ireland’s highest peak, Carrauntoohil, in the Macgillycuddy's Reeks range.
  • E. A Small Corner of Hell
    A Small Corner of Hell is a non-fiction book by Russian journalist Anna Politkovskaya that documents human rights abuses and the brutal realities of the Second Chechen War.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245c3e5388190942b0237ab5d1f0f completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000eee110c819088d99b80435ab70b completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:04 a.m.