Triple
T18735706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Stewart Sherman |
E458155
|
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: [Daniel Stewart Sherman, workLocation, Broadway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Broadway Context triple: [Daniel Stewart Sherman, workLocation, Broadway]
-
A.
Broadway
Broadway is a major east–west thoroughfare in Vancouver, British Columbia, known as one of the city’s primary commercial and transit corridors.
-
B.
Broadway
Broadway is a New York City Subway station in Queens served by the BMT Astoria Line.
-
C.
Broadway
Broadway is a major thoroughfare in Nashville, Tennessee, famed for its honky-tonk bars, live music venues, and vibrant nightlife.
-
D.
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.
-
E.
Broadway
Broadway is a picturesque English village in Worcestershire’s Cotswolds, known for its honey-colored stone buildings, historic High Street, and role as a popular tourist destination.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d7ae10081908bc6857d1d147eef |
completed | April 20, 2026, 12:04 a.m. |
Created at: April 10, 2026, 11:51 a.m.