Triple

T4497242
Position Surface form Disambiguated ID Type / Status
Subject Jesse L. Lasky E100728 entity
Predicate familyName P18 FINISHED
Object Lasky
Lasky is a surname most notably associated with Jesse L. Lasky, a pioneering American film producer and co-founder of Paramount Pictures.
 E446377 NE FINISHED

How this triple was built (4 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: [Jesse L. Lasky, familyName, Lasky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lasky
Context triple: [Jesse L. Lasky, familyName, Lasky]
  • A. Orson
    Orson is a masculine given name most famously associated with the American filmmaker and actor Orson Welles.
  • B. Roscoe
    "Roscoe" is an essay by Washington Irving, included in his collection *The Sketch Book of Geoffrey Crayon, Gent.*, that reflects on the life and character of English historian and writer William Roscoe.
  • C. Hedison
    Hedison is a surname most notably associated with American photographer and director Alexandra Hedison and her family.
  • D. Laurel
    Laurel is a feminine given name of English origin, derived from the laurel tree traditionally associated with honor and victory.
  • E. Laurel
    Laurel is a small city in Maryland known for its suburban character and location between Washington, D.C. and Baltimore.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lasky
Triple: [Jesse L. Lasky, familyName, Lasky]
Generated description
Lasky is a surname most notably associated with Jesse L. Lasky, a pioneering American film producer and co-founder of Paramount Pictures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lasky
Target entity description: Lasky is a surname most notably associated with Jesse L. Lasky, a pioneering American film producer and co-founder of Paramount Pictures.
  • A. Orson
    Orson is a masculine given name most famously associated with the American filmmaker and actor Orson Welles.
  • B. Roscoe
    "Roscoe" is an essay by Washington Irving, included in his collection *The Sketch Book of Geoffrey Crayon, Gent.*, that reflects on the life and character of English historian and writer William Roscoe.
  • C. Hedison
    Hedison is a surname most notably associated with American photographer and director Alexandra Hedison and her family.
  • D. Laurel
    Laurel is a feminine given name of English origin, derived from the laurel tree traditionally associated with honor and victory.
  • E. Laurel
    Laurel is a small city in Maryland known for its suburban character and location between Washington, D.C. and Baltimore.
  • F. None of above. chosen

Provenance (5 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_69bd43cdf15081909a4fa2585ff63b3e completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd56bf3ff48190b3aae0136d7fce45 completed March 20, 2026, 2:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd67c4e7c88190b9b9cab49444b515 completed March 20, 2026, 3:29 p.m.
NEDg Description generation batch_69bd683417b08190bc4e08638a30c0ec completed March 20, 2026, 3:31 p.m.
NED2 Entity disambiguation (via description) batch_69bd68b4681c8190abb170ccb054cd05 completed March 20, 2026, 3:33 p.m.
Created at: March 20, 2026, 1 p.m.