Triple

T20912988
Position Surface form Disambiguated ID Type / Status
Subject Mary Austin House E514995 entity
Predicate notableWorkContext P29300 FINISHED
Object The Land of Little Rain NE NERFINISHED

How this triple was built (3 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 Land of Little Rain | Statement: [Mary Austin House, notableWorkContext, The Land of Little Rain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Land of Little Rain
Context triple: [Mary Austin House, notableWorkContext, The Land of Little Rain]
  • A. The Land That Drank the Rain
    The Land That Drank the Rain is a literary novel by American author William Hoffman, known for its richly drawn Southern setting and exploration of moral and spiritual redemption.
  • B. On the Land
    On the Land is a permanent exhibition at the National Wool Museum that explores the history, culture, and practices of wool production and rural life.
  • C. The Land
    The Land is an EPCOT pavilion focused on agriculture and the natural environment, featuring attractions and exhibits about sustainable farming, ecosystems, and human interaction with the Earth.
  • D. The Land
    The Land is a 2016 coming-of-age drama film that follows a group of Cleveland teenagers pursuing professional skateboarding while becoming entangled in the local drug trade.
  • E. The Land
    The Land is a long Georgian-style poem by Vita Sackville-West that lyrically celebrates the English countryside and the cycle of rural life through the seasons.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Land of Little Rain
Target entity description: The Land of Little Rain is a classic 1903 collection of nature essays by Mary Austin that vividly portrays the landscapes and cultures of the American Southwest desert.
  • A. The Land That Drank the Rain
    The Land That Drank the Rain is a literary novel by American author William Hoffman, known for its richly drawn Southern setting and exploration of moral and spiritual redemption.
  • B. On the Land
    On the Land is a permanent exhibition at the National Wool Museum that explores the history, culture, and practices of wool production and rural life.
  • C. The Land
    The Land is an EPCOT pavilion focused on agriculture and the natural environment, featuring attractions and exhibits about sustainable farming, ecosystems, and human interaction with the Earth.
  • D. The Land
    The Land is a 2016 coming-of-age drama film that follows a group of Cleveland teenagers pursuing professional skateboarding while becoming entangled in the local drug trade.
  • E. The Land
    The Land is a long Georgian-style poem by Vita Sackville-West that lyrically celebrates the English countryside and the cycle of rural life through the seasons.
  • F. None of above. chosen

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_69e0b4f9d5ec8190bb2bd27350ed341c completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6ec60d3288190897a087bbdd4f005 completed April 21, 2026, 3:17 a.m.
Created at: April 16, 2026, 12:48 p.m.