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.