Triple

T11345395
Position Surface form Disambiguated ID Type / Status
Subject Howard Gordon E268698 entity
Predicate placeOfBirth P1 FINISHED
Object Queens E7475 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: Queens | Statement: [Howard Gordon, placeOfBirth, Queens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Queens
Context triple: [Howard Gordon, placeOfBirth, Queens]
  • A. Queens chosen
    Queens is one of the five boroughs of New York City, known for its ethnic diversity, major airports, and mix of residential neighborhoods and commercial centers.
  • B. The Bronx
    The Bronx is one of the five boroughs of New York City, known as the birthplace of hip-hop and home to Yankee Stadium and the Bronx Zoo.
  • C. Manhattan–Queens
    Manhattan–Queens refers to the area encompassing the New York City boroughs of Manhattan and Queens, located across the East River from each other.
  • D. The Bronx and Queens
    The Bronx and Queens are two populous New York City boroughs located on the mainland and Long Island respectively, linked by major roadways and bridges across the East River.
  • E. Brooklyn
    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.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea1f9574819089760c5b5908f09e completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e542c5fdb88190968831279eaeea49 completed April 19, 2026, 9:01 p.m.
Created at: April 8, 2026, 9:33 p.m.