Triple

T4016520
Position Surface form Disambiguated ID Type / Status
Subject Eleanor Audley E90773 entity
Predicate workedOn P3 FINISHED
Object Green Acres E282083 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: Green Acres | Statement: [Eleanor Audley, workedOn, Green Acres]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green Acres
Context triple: [Eleanor Audley, workedOn, Green Acres]
  • A. Green Acres chosen
    Green Acres is a classic 1960s American television sitcom about a New York lawyer and his wife adjusting to an eccentric rural farming community.
  • 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. The Andy Griffith Show
    The Andy Griffith Show is a classic American television sitcom from the 1960s set in the fictional town of Mayberry, known for its gentle humor, small-town charm, and enduring cultural impact.
  • E. Little House
    Little House was the original name of the Royal Infirmary of Edinburgh, an early hospital facility serving the city of Edinburgh, Scotland.
  • 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_69aed95e44088190aff7d90a151b1b20 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaa7352481908232534c89a698e7 completed March 9, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c768e5481908b184332e3c73588 completed March 14, 2026, 11:54 a.m.
Created at: March 9, 2026, 3:35 p.m.