Triple

T9569873
Position Surface form Disambiguated ID Type / Status
Subject Little House E230886 entity
Predicate hasName P744 FINISHED
Object Little House E230886 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: Little House | Statement: [Little House, hasName, Little House]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Little House
Context triple: [Little House, hasName, Little House]
  • A. Little House chosen
    Little House was the original name of the Royal Infirmary of Edinburgh, an early hospital facility serving the city of Edinburgh, Scotland.
  • B. Little House on the Prairie
    Little House on the Prairie is a beloved American television drama series based on Laura Ingalls Wilder’s books, depicting the life of the Ingalls family on the 19th-century American frontier.
  • C. The Waltons
    The Waltons is an American television drama series set during the Great Depression and World War II that follows the lives of a close-knit rural Virginia family.
  • D. La Petite Maison
    La Petite Maison is a tiny stone cottage on the remote Les Minquiers reef in the Channel Islands, often cited as one of the smallest inhabited houses in the world.
  • E. Green Acres
    Green Acres is a classic 1960s American television sitcom about a New York lawyer and his wife adjusting to an eccentric rural farming community.
  • 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_69ca847f22188190a56e4a97625bef22 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd998940c881909f9025512cf72fe9 completed April 1, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d152ba8f8081908b11c3c098e7e5f0 completed April 4, 2026, 6:04 p.m.
Created at: March 30, 2026, 8:04 p.m.