Triple

T19772635
Position Surface form Disambiguated ID Type / Status
Subject Charles Pfizer E474925 entity
Predicate businessLocation P1527 FINISHED
Object Brooklyn, New York E5446 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: Brooklyn, New York | Statement: [Charles Pfizer, businessLocation, Brooklyn, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brooklyn, New York
Context triple: [Charles Pfizer, businessLocation, Brooklyn, New York]
  • A. Brooklyn chosen
    Brooklyn is a populous and culturally diverse borough of New York City known for its distinct neighborhoods, arts scene, and iconic landmarks like the Brooklyn Bridge.
  • B. Brooklyn
    Brooklyn is a small inner-ring suburb of Cleveland located in Cuyahoga County, Ohio.
  • C. Brooklyn
    Brooklyn is a small city in Poweshiek County, Iowa, known for its collection of flags from around the world and its nickname "Community of Flags."
  • D. Brooklyn
    "Brooklyn" is a 2015 period drama film about a young Irish woman who emigrates to New York in the 1950s and must choose between her new life in America and her roots in Ireland.
  • E. Brooklyn
    Brooklyn is a residential suburb within the coastal city of Burnie in Tasmania, Australia.
  • 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6535ce4d08190a1dfca2df95a8631 completed April 20, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07f6d052948190a7361c24a7c3095b completed May 16, 2026, 4:47 a.m.
Created at: April 10, 2026, 1:48 p.m.