Triple

T6486359
Position Surface form Disambiguated ID Type / Status
Subject Hans Hofmann E146520 entity
Predicate taughtInCity P71205 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: [Hans Hofmann, taughtInCity, New York City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: New York City
Context triple: [Hans Hofmann, taughtInCity, 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: taughtInCity
Context triple: [Hans Hofmann, taughtInCity, New York City]
  • A. areTaughtIn
    Indicates that certain subjects, courses, or topics are instructed or delivered within specific locations, classes, or educational settings.
  • B. taughtAs
    Indicates that one entity served as a teacher or instructor for another entity in an educational or training context.
  • C. taughtThrough
    Indicates that one entity provided instruction, education, or training to another entity by means of a specified method, medium, or intermediary.
  • D. servesAsTeachingSiteFor
    Indicates that one entity functions as a location or institution where teaching, training, or educational activities are conducted for another entity.
  • E. firstTaughtIn
    Indicates the time or place at which something (such as a concept, subject, or course) was initially taught or introduced in an instructional context.
  • 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_69c0090158c08190af0df9a2348d2d52 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a706d4c8190b7a3cc8855abcecb completed March 22, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6537b6f108190a5f7084412537d11 completed March 27, 2026, 9:52 a.m.
PD Predicate disambiguation batch_69c0673f6d48819080e10c85155c7195 completed March 22, 2026, 10:03 p.m.
PDg Predicate description generation batch_69c06822f73081908e6bb9edecbe77a6 completed March 22, 2026, 10:07 p.m.
Created at: March 22, 2026, 4:52 p.m.