Triple

T4559999
Position Surface form Disambiguated ID Type / Status
Subject Allison Janney E120568 entity
Predicate workLocation P7 FINISHED
Object Broadway E346260 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: Broadway | Statement: [Allison Janney, workLocation, Broadway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Broadway
Context triple: [Allison Janney, 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 east–west thoroughfare in Vancouver, British Columbia, known as one of the city’s primary commercial and transit corridors.
  • D. Broadway chosen
    Broadway is a style of American musical theater characterized by its theatrical song-and-dance numbers, dramatic storytelling, and association with New York City's major commercial stage productions.
  • E. Broadway
    Broadway is a subway station in South Boston on the Massachusetts Bay Transportation Authority (MBTA) system, providing access to the surrounding residential and commercial neighborhoods.
  • 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_69bd4636f1648190a701445c2fcd9c17 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd582b871c8190be0b70c76d639000 completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc593eaf881908a9043366230b391 completed March 20, 2026, 10:09 p.m.
Created at: March 20, 2026, 1:09 p.m.