Triple

T16035597
Position Surface form Disambiguated ID Type / Status
Subject The Other Wind E388961 entity
Predicate featuresConcept P531 FINISHED
Object the Dry Land E958527 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: the Dry Land | Statement: [The Other Wind, featuresConcept, the Dry Land]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: the Dry Land
Context triple: [The Other Wind, featuresConcept, the Dry Land]
  • A. The Dry Land chosen
    The Dry Land is a 2010 independent drama film about an Iraq War veteran struggling with post-traumatic stress disorder and reintegration into civilian life.
  • B. Droogte
    "Droogte" is a notable Afrikaans literary work by South African writer C. M. van den Heever, recognized for its portrayal of hardship and rural life.
  • C. Parched
    Parched is a 2015 Indian drama film that explores the lives, struggles, and solidarity of rural women confronting patriarchy and social taboos in a conservative village.
  • D. The Dunes
    The Dunes is a work that follows The Kneeling, likely continuing its themes or narrative in a subsequent installment.
  • E. Sea of Sand
    The Sea of Sand is a vast, otherworldly volcanic sand plain surrounding Mount Bromo in East Java, Indonesia, renowned for its stark, lunar-like landscape.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1833b84608190887dafda5d081dc0 completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbd3a1248190ad055892cebde5f0 completed May 10, 2026, 1:13 a.m.
Created at: April 10, 2026, 4:56 a.m.