Triple

T10482757
Position Surface form Disambiguated ID Type / Status
Subject Aziz Ansari E247212 entity
Predicate startedStandUpCareerIn P94553 FINISHED
Object New York City E40 NE FINISHED

How this triple was built (3 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: New York City | Statement: [Aziz Ansari, startedStandUpCareerIn, New York City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: New York City
Context triple: [Aziz Ansari, startedStandUpCareerIn, New York City]
  • A. New York City chosen
    New York City is the largest city in the United States, a global center of finance, culture, media, and technology.
  • B. NYC
    NYC is a historic American railroad company that operated major passenger and freight services across the northeastern and midwestern United States.
  • C. New York
    New York is a populous and economically significant U.S. state known for New York City, a global center of finance, culture, and media.
  • D. Manhattan
    The Manhattan is a classic whiskey-based cocktail, traditionally made with rye or bourbon, sweet vermouth, and bitters, and typically served stirred and garnished with a cherry.
  • E. Manhattan
    Manhattan is the densely populated, iconic core borough of New York City, known for its skyscrapers, cultural institutions, and role as a global financial and media center.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: startedStandUpCareerIn
Context triple: [Aziz Ansari, startedStandUpCareerIn, New York City]
  • A. startedCareerWith
    Indicates that an entity began its professional career associated with, employed by, or active for another specified entity.
  • B. launchedCareerOf
    Indicates that one entity’s actions, support, or involvement initiated or significantly advanced another entity’s professional career.
  • C. careerStart
    Indicates the point in time when an entity begins its professional career or main occupational activity.
  • D. managedCareerOf
    Indicates that one entity was responsible for overseeing, directing, or handling the professional career of another entity.
  • E. studCareerBegan
    Indicates that a student's professional or academic career started at a specified time or institution.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5095d21c08190a0b2f3e57fabb1d8 completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89f25c16c8190a17dc19e3e1b197a completed April 10, 2026, 6:56 a.m.
PD Predicate disambiguation batch_69d4fb8a30848190b33cf43f005a028e completed April 7, 2026, 12:41 p.m.
PDg Predicate description generation batch_69d5092af880819082b42c0a68e45c5f completed April 7, 2026, 1:39 p.m.
Created at: April 6, 2026, 12:22 p.m.