Triple

T22875946
Position Surface form Disambiguated ID Type / Status
Subject Hell in a Bucket E567324 entity
Predicate partOf P40 FINISHED
Object In the Dark — 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: In the Dark | Statement: [Hell in a Bucket, partOf, In the Dark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: In the Dark
Context triple: [Hell in a Bucket, partOf, In the Dark]
  • A. In the Dark
    "In the Dark" is a critically acclaimed documentary film by Sergey Dvortsevoy that intimately portrays the daily life and quiet struggles of a blind man living in post-Soviet Russia.
  • B. In the Dark
    "In the Dark" is a classic reggae song by Toots and the Maytals, known for its soulful vocals and influential role in the development of the genre.
  • C. In the Dark
    "In the Dark" is a 1987 studio album by the Grateful Dead that became their biggest commercial success, featuring the hit single "Touch of Grey."
  • D. In the Dark chosen
    In the Dark is an American crime drama television series created by Corinne Kingsbury that follows a blind woman who becomes entangled in solving her friend’s murder.
  • E. The Dark
    The Dark is a children's picture book that gently explores fear of the dark through a quirky, suspenseful story and distinctive illustrations, written in Lemony Snicket’s signature deadpan style.
  • 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_69e24589d8348190b96422d13a678bc1 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f58a7308190b710bdf013e2e114 completed April 29, 2026, 3:47 a.m.
Created at: April 17, 2026, 3:39 p.m.