Triple

T9466661
Position Surface form Disambiguated ID Type / Status
Subject MIT Linguistics Section E228287 entity
Predicate notableAlumni P51 FINISHED
Object Howard Lasnik E278696 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: Howard Lasnik | Statement: [MIT Linguistics Section, notableAlumni, Howard Lasnik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard Lasnik
Context triple: [MIT Linguistics Section, notableAlumni, Howard Lasnik]
  • A. Howard Lasnik chosen
    Howard Lasnik is a prominent American linguist known for his influential work in generative syntax and his close collaboration with Noam Chomsky in developing contemporary syntactic theory.
  • B. Michael Vavitch
    Michael Vavitch was a silent-era film actor known for his role in the 1924 drama "The Red Lily."
  • C. Larry Brezner
    Larry Brezner was an American film producer and talent manager known for producing popular comedies such as "Good Morning, Vietnam," "The 'Burbs," and "Ride Along."
  • D. Mitch Kertzman
    Mitch Kertzman is an American technology executive and entrepreneur best known for his leadership roles in the software and semiconductor industries, including at companies like LSI Logic and Sybase.
  • E. Henry Krinsky
    Henry Krinsky, later known as Henry Crown, was a prominent American industrialist and financier who built a vast business empire including Material Service Corporation and a major stake in General Dynamics.
  • 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_69ca846fee388190a6ec273fd644b88b completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fdc08f08190ad17de08d2c2eca2 completed April 1, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d2cb2aaef481908a7be61bbfc3b008 completed April 5, 2026, 8:50 p.m.
Created at: March 30, 2026, 7:53 p.m.