Triple

T18378663
Position Surface form Disambiguated ID Type / Status
Subject Bessie Ginsberg Lasky E446381 entity
Predicate familyName P18 FINISHED
Object Lasky NE NERFINISHED

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: Lasky | Statement: [Bessie Ginsberg Lasky, familyName, Lasky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lasky
Context triple: [Bessie Ginsberg Lasky, familyName, Lasky]
  • A. Lasky chosen
    Lasky is a surname most notably associated with Jesse L. Lasky, a pioneering American film producer and co-founder of Paramount Pictures.
  • B. Le Willis
    Le Willis is the original French title of Giacomo Puccini’s early one-act opera-ballet better known as Le Villi.
  • C. Atlee
    Atlee is a prominent Indian film director and screenwriter known for his commercially successful Tamil-language blockbusters and frequent collaborations with top South Indian stars.
  • D. Modjeski
    Modjeski is the surname of Ralph Modjeski, a prominent Polish-American civil engineer renowned for designing major bridges in the United States.
  • E. Goldwyn
    Goldwyn is a notable American surname most famously associated with film producer Samuel Goldwyn and his entertainment-industry family.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e5179919c881908d55ea24f93c5827 completed April 19, 2026, 5:57 p.m.
Created at: April 10, 2026, 10:45 a.m.