Triple

T2483846
Position Surface form Disambiguated ID Type / Status
Subject Nella Larsen E55879 entity
Predicate notableWork P4 FINISHED
Object Passing E199786 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: Passing | Statement: [Nella Larsen, notableWork, Passing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Passing
Context triple: [Nella Larsen, notableWork, Passing]
  • A. Passing chosen
    "Passing" is a 2021 black-and-white drama film, based on Nella Larsen’s novel, that explores racial identity and colorism in 1920s Harlem.
  • B. Passabe
    Passabe is a village and administrative post in the Oecusse exclave of Timor-Leste, known for its remote location and its role in the region’s political and social history.
  • C. Ossuccio
    Ossuccio is a small lakeside locality on the western shore of Lake Como in northern Italy, known for its scenic setting opposite the historic Isola Comacina.
  • D. Getting On
    Getting On is an American dark comedy television series set in a dysfunctional hospital geriatric ward, adapted from the British show of the same name.
  • E. A Passion for Success
    "A Passion for Success" is a motivational and philosophical business book by Japanese entrepreneur and philanthropist Kazuo Inamori, outlining his principles for ethical leadership, personal growth, and corporate management.
  • 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_69ab49e670a88190b928e08302381710 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd1644b5881908d2931a1dfbbd03b completed March 7, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17b7b4f08190b23af81c696bba4e completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:45 p.m.