Triple

T27180732

Position	Surface form	Disambiguated ID	Type / Status
Subject	Samuel J. Friedman Theatre	`E683182`	entity
Predicate	locatedInBroadwayDistrict	`P96640`	FINISHED
Object	Broadway Broadway is a famous New York City thoroughfare and theater district renowned as the historic heart of American commercial theater and musicals.	`E16252`	NE FINISHED

How this triple was built (3 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: [Samuel J. Friedman Theatre, locatedInBroadwayDistrict, Broadway]

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: Broadway
Triple: [Samuel J. Friedman Theatre, locatedInBroadwayDistrict, Broadway]

Generated description

Broadway is a famous New York City thoroughfare and theater district renowned as the historic heart of American commercial theater and musicals.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: locatedInBroadwayDistrict
Context triple: [Samuel J. Friedman Theatre, locatedInBroadwayDistrict, Broadway]

A. broadwayTheatreDistrict
Indicates that something is located in or associated with the Broadway Theatre District, the area known for its concentration of Broadway theaters and related activities.
B. broadwayLocation chosen
Indicates that an entity is located on, near, or associated with Broadway (typically the Broadway theater district or street).
C. locatedInBoroughCommunityDistrict
Indicates that something is situated within a specific borough community district.
D. locatedInFormerBorough
Indicates that an entity is or was situated within the geographic area of a borough that no longer exists as an administrative unit.
E. theaterDistrict
Indicates that a location is situated within or associated with a designated theater district.
F. None of above.

Provenance (6 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_69eefad086808190ab89816c0c300476`	completed	April 27, 2026, 5:57 a.m.
NER	Named-entity recognition	`batch_69fe96c2647c819082989f11e1ae3d35`	completed	May 9, 2026, 2:06 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a12625a6b808190b18d2212a514c9d1`	completed	May 24, 2026, 2:28 a.m.
NEDg	Description generation	`batch_6a126d04c0ac8190a0be232512d7baad`	completed	May 24, 2026, 3:14 a.m.
NED2	Entity disambiguation (via description)	`batch_6a126e5956f8819087415e8b62a2e1f5`	completed	May 24, 2026, 3:19 a.m.
PD	Predicate disambiguation	`batch_69fe928615448190af939e5a94be55bb`	completed	May 9, 2026, 1:48 a.m.

Created at: April 27, 2026, 9:28 a.m.