Triple

T17349990
Position Surface form Disambiguated ID Type / Status
Subject Leo McCarey E421782 entity
Predicate familyName P18 FINISHED
Object McCarey NE ONDG

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: McCarey | Statement: [Leo McCarey, familyName, McCarey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: McCarey
Context triple: [Leo McCarey, familyName, McCarey]
  • A. McCrea
    McCrea is a small community located within the rural township of Edwardsburgh/Cardinal in Eastern Ontario, Canada.
  • B. Lasky
    Lasky is a surname most notably associated with Jesse L. Lasky, a pioneering American film producer and co-founder of Paramount Pictures.
  • C. Selig
    Selig is a surname most prominently associated with Allan H. "Bud" Selig, the former Commissioner of Major League Baseball.
  • 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. Guillermin
    Guillermin is a French-origin surname most notably associated with British film director John Guillermin, known for works such as "The Towering Inferno" and the 1976 remake of "King Kong."
  • 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: McCarey
Triple: [Leo McCarey, familyName, McCarey]
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: McCarey
Target entity description: McCarey is a surname most notably associated with American film director Leo McCarey, known for his influential work in classic Hollywood cinema.
  • A. McCrea
    McCrea is a small community located within the rural township of Edwardsburgh/Cardinal in Eastern Ontario, Canada.
  • B. Lasky
    Lasky is a surname most notably associated with Jesse L. Lasky, a pioneering American film producer and co-founder of Paramount Pictures.
  • C. Selig
    Selig is a surname most prominently associated with Allan H. "Bud" Selig, the former Commissioner of Major League Baseball.
  • 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. Guillermin
    Guillermin is a French-origin surname most notably associated with British film director John Guillermin, known for works such as "The Towering Inferno" and the 1976 remake of "King Kong."
  • F. None of above. chosen

Provenance (4 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a2bd0a881909e71c89773d9273c completed April 19, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0195585e5881909b0ad386b65112ba completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a0195c365348190bc5ae9d39094e6f3 in_progress May 11, 2026, 8:39 a.m.
Created at: April 10, 2026, 5:44 a.m.