Triple

T7239736
Position Surface form Disambiguated ID Type / Status
Subject Long Island University E155323 entity
Predicate campus P269 FINISHED
Object LIU Hudson E234433 NE FINISHED

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: LIU Hudson | Statement: [Long Island University, campus, LIU Hudson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LIU Hudson
Context triple: [Long Island University, campus, LIU Hudson]
  • A. LIU Brooklyn chosen
    LIU Brooklyn is an urban campus of Long Island University located in Brooklyn, New York, offering a wide range of undergraduate and graduate programs.
  • B. Huan Liu
    Huan Liu is a prominent computer scientist known for his influential research in data mining and machine learning, particularly in feature selection and social media analytics.
  • C. Tzi Ma
    Tzi Ma is a Chinese-American actor known for his versatile supporting roles in film and television, including prominent appearances in projects like "Arrival," "The Man in the High Castle," and "Rush Hour."
  • D. Weihan
    Weihan is a Chinese given name most notably borne by Li Weihan, a prominent Chinese Communist revolutionary and politician.
  • E. Dan Huiting
    Dan Huiting is a music video director known for his visually distinctive work with indie and alternative artists.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c688143bfc81908d4176617735e601 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea37fa9081908e9c3abe49d151e5 completed March 27, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc3d75b48190916bf327396f2666 completed March 28, 2026, 12:40 p.m.
Created at: March 27, 2026, 2:55 p.m.