Triple

T20034939
Position Surface form Disambiguated ID Type / Status
Subject Lane Bradbury E497230 entity
Predicate workLocation P7 FINISHED
Object Broadway NE NERFINISHED

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: Broadway | Statement: [Lane Bradbury, workLocation, Broadway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Broadway
Context triple: [Lane Bradbury, workLocation, Broadway]
  • A. Broadway
    Broadway is a major thoroughfare in Cambridge, Massachusetts, running through the city center and connecting key academic, residential, and commercial areas.
  • B. Broadway
    Broadway is a major thoroughfare in Oakland, California, serving as a key commercial and transportation corridor through the city’s downtown.
  • C. Broadway
    Broadway is a major north–south thoroughfare on Chicago’s North Side known for its dense mix of shops, restaurants, and neighborhood commercial districts.
  • D. Broadway
    Broadway is a distribution of the AROS Research Operating System designed to provide a complete, user-friendly Amiga-like computing environment.
  • E. Broadway
    Broadway is a major thoroughfare in Nashville, Tennessee, famed for its honky-tonk bars, live music venues, and vibrant nightlife.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

Provenance (2 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662e76f8481909c006921cbbfd060 completed April 20, 2026, 5:31 p.m.
Created at: April 11, 2026, 3:36 p.m.