Triple

T17900473
Position Surface form Disambiguated ID Type / Status
Subject Carole Eastman E447558 entity
Predicate notableWork P4 FINISHED
Object The Fortune E816570 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 Fortune | Statement: [Carole Eastman, notableWork, The Fortune]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Fortune
Context triple: [Carole Eastman, notableWork, The Fortune]
  • A. The Fortune chosen
    The Fortune is a 1975 American comedy film directed by Mike Nichols and best known for starring Jack Nicholson and Warren Beatty as inept con men in a 1920s screwball caper.
  • B. That Fortune
    "That Fortune" is a lesser-known novel by American essayist and editor Charles Dudley Warner, reflecting his characteristic blend of social observation and genteel humor.
  • C. The Galleon
    The Galleon is a children's novel by Marni Hodgkin, best known as one of her key works in mid-20th-century British children's literature.
  • D. Jewel of the Port
    Jewel of the Port is a picturesque historic lighthouse on Lake Erie in Lorain, Ohio, renowned as a local maritime landmark and symbol of the city’s waterfront.
  • E. Fortune
    Fortune is the surname of E. Charlton Fortune, an American painter known for her Impressionist and modernist works, particularly coastal scenes of California.
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49d8321bc8190a3f679d96323cbbb completed April 19, 2026, 9:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03290849b081908186afa86cd74ad1 completed May 12, 2026, 1:20 p.m.
Created at: April 10, 2026, 10:19 a.m.