Triple

T622742
Position Surface form Disambiguated ID Type / Status
Subject Little, Brown and Company E14548 entity
Predicate notableWorkPublished P80 FINISHED
Object The Bell Jar E68877 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: The Bell Jar | Statement: [Little, Brown and Company, notableWorkPublished, The Bell Jar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Bell Jar
Context triple: [Little, Brown and Company, notableWorkPublished, The Bell Jar]
  • A. The Bell Jar chosen
    The Bell Jar is a semi-autobiographical novel by Sylvia Plath that portrays a young woman's descent into mental illness amid the pressures and expectations of 1950s American society.
  • B. Shirley
    Shirley is a small town in north-central Massachusetts served by commuter rail on the MBTA Fitchburg Line.
  • C. Shirley
    Shirley is the given name of Shirley Ann Jackson, a prominent American physicist and trailblazing academic leader.
  • D. Shirley
    Shirley is an English surname of Old English origin that has also become a common given name.
  • E. Tender Is the Night
    Tender Is the Night is a 1934 novel by F. Scott Fitzgerald that portrays the glamorous yet tragic lives of an American psychiatrist and his wife on the French Riviera.
  • 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_69a4934b17c881909ace8270e8ddd202 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e402d9c8190936896e3ebb6edc5 completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a563cab73c819082b51d64d249143b completed March 2, 2026, 10:17 a.m.
Created at: March 1, 2026, 7:35 p.m.