Triple

T19789395
Position Surface form Disambiguated ID Type / Status
Subject Trapped Ashes E475368 entity
Predicate title P38 FINISHED
Object Trapped Ashes 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: Trapped Ashes | Statement: [Trapped Ashes, title, Trapped Ashes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trapped Ashes
Context triple: [Trapped Ashes, title, Trapped Ashes]
  • A. Trapped Ashes chosen
    Trapped Ashes is a 2006 horror anthology film composed of several macabre segments directed by different filmmakers.
  • B. Beautiful Ashes
    "Beautiful Ashes" is a Christian-themed inspirational book co-authored by Beth Shuey that focuses on finding hope, healing, and redemption amid personal hardship and loss.
  • C. Out of the Ashes
    Out of the Ashes is a poetry collection by Frieda Hughes that reflects on personal trauma, family legacy, and emotional resilience.
  • D. Out of the Ashes
    Out of the Ashes is a country music album by American singer-songwriter Jessi Colter, marking her return to recording after a long hiatus.
  • E. Ashes and Embers
    Ashes and Embers is a 1982 independent drama film by Haile Gerima that explores the struggles of a disillusioned Black Vietnam War veteran confronting racism and identity in the United States.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6538ae5108190b80eb7de6f445f02 completed April 20, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:49 p.m.