Triple

T16389446
Position Surface form Disambiguated ID Type / Status
Subject Lewis MacDougall E398011 entity
Predicate notableWork P4 FINISHED
Object A Monster Calls E90116 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: A Monster Calls | Statement: [Lewis MacDougall, notableWork, A Monster Calls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A Monster Calls
Context triple: [Lewis MacDougall, notableWork, A Monster Calls]
  • A. A Monster Calls chosen
    A Monster Calls is a dark fantasy drama film that blends emotional coming-of-age storytelling with supernatural elements as a young boy copes with his mother's terminal illness through visits from a giant tree-like monster.
  • B. Marwencol
    Marwencol is a 2010 documentary film that follows Mark Hogancamp, a man who copes with trauma by building and photographing an intricate World War II-era miniature town in his backyard.
  • C. Song of the Sea
    Song of the Sea is a biblical hymn in the Book of Exodus that celebrates the Israelites’ deliverance from Egypt and the defeat of Pharaoh’s army.
  • D. Saint Maud
    Saint Maud is a 2019 British psychological horror film that follows a deeply religious hospice nurse whose obsessive faith and growing mental instability lead to disturbing and supernatural-seeming events.
  • E. The Witch
    The Witch is a 2015 atmospheric horror film set in 17th-century New England that follows a Puritan family menaced by sinister forces in the wilderness.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e326414f44819093ebc11f1b63444c completed April 18, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c58280081908e4d73a75b09dbb8 completed May 10, 2026, 8:05 a.m.
Created at: April 10, 2026, 5:08 a.m.