Triple

T976937
Position Surface form Disambiguated ID Type / Status
Subject My Brilliant Career E21074 entity
Predicate basedOn P98 FINISHED
Object My Brilliant Career (novel) E21074 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: My Brilliant Career (novel) | Statement: [My Brilliant Career, basedOn, My Brilliant Career (novel)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: My Brilliant Career (novel)
Context triple: [My Brilliant Career, basedOn, My Brilliant Career (novel)]
  • A. My Brilliant Career chosen
    My Brilliant Career is a 1979 Australian coming-of-age drama film, directed by Gillian Armstrong and based on Miles Franklin’s novel, about a young woman defying social expectations in rural Australia.
  • 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. An Old-Fashioned Girl
    An Old-Fashioned Girl is a 19th-century coming-of-age novel by Louisa May Alcott that contrasts simple, traditional values with the temptations of fashionable city life through the experiences of its young heroine.
  • 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_69a493c2b62c8190b616351789ec47f8 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b46344048190b7a13b8f3ad9f455 completed March 1, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac170e8a008190a40001224f8dae2a completed March 7, 2026, 12:16 p.m.
Created at: March 1, 2026, 7:40 p.m.