Triple

T16780709
Position Surface form Disambiguated ID Type / Status
Subject A Backward Glance E407848 entity
Predicate relatedWork P37 FINISHED
Object Ethan Frome E303067 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: Ethan Frome | Statement: [A Backward Glance, relatedWork, Ethan Frome]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ethan Frome
Context triple: [A Backward Glance, relatedWork, Ethan Frome]
  • A. Ethan Frome chosen
    Ethan Frome is a 1993 American drama film directed by John Madden, adapted from Edith Wharton's novel about a tragic love triangle in a bleak New England setting.
  • B. The Country of the Pointed Firs
    The Country of the Pointed Firs is an 1896 episodic novel by Sarah Orne Jewett that portrays life in a small coastal Maine village and is considered a classic of American regionalist literature.
  • C. The Firs
    The Firs is a mixed-use shopping and dining complex in the Rosebank district of Johannesburg, South Africa.
  • D. The Long Winter
    The Long Winter is a semi-autobiographical novel by Laura Ingalls Wilder that recounts her family’s struggle to survive the brutal winter of 1880–1881 on the American frontier.
  • E. Shirley
    Shirley is a small town in north-central Massachusetts served by commuter rail on the MBTA Fitchburg Line.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b214cebc81909de80e74b4bac5f8 completed April 18, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b287a96c8190a16d7c76d05be106 completed May 10, 2026, 4:29 p.m.
Created at: April 10, 2026, 5:22 a.m.