Triple

T33576832

Position	Surface form	Disambiguated ID	Type / Status
Subject	Stomp	`E860049`	entity
Predicate	notableRunTheatre	`P205226`	FINISHED
Object	Orpheum Theatre, New York City Orpheum Theatre, New York City is an Off-Broadway theater in Manhattan’s East Village best known for hosting long-running productions and intimate stage performances.	`E2057188`	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: Orpheum Theatre, New York City | Statement: [Stomp, notableRunTheatre, Orpheum Theatre, New York City]

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: Orpheum Theatre, New York City
Triple: [Stomp, notableRunTheatre, Orpheum Theatre, New York City]

Generated description

Orpheum Theatre, New York City is an Off-Broadway theater in Manhattan’s East Village best known for hosting long-running productions and intimate stage performances.

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

Target predicate: notableRunTheatre
Context triple: [Stomp, notableRunTheatre, Orpheum Theatre, New York City]

A. notableTheatre
Indicates that there is a notable or significant theatre associated with the subject entity.
B. notableTheater
Indicates that there is a significant or well-known theater associated with the subject.
C. notableTheaterWork
Indicates that a theater work is notably associated with, or a significant part of the achievements of, a given entity.
D. notableTheaterPractitioner
Indicates that a person is recognized for significant contributions or influence in the field of theater practice.
E. notableTheaterCommand
Indicates that an entity is recognized for having held a significant leadership or command role in a theater of operations or performance context.
F. None of above. chosen

Provenance (7 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_69f3497d37848190afcbb5ef3f5c7376`	completed	April 30, 2026, 12:22 p.m.
NER	Named-entity recognition	`batch_6a037c9141dc819098d7fcc36e69882c`	completed	May 12, 2026, 7:16 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a35afe11ce08190a4d56a86871102cb`	completed	June 19, 2026, 9:08 p.m.
NEDg	Description generation	`batch_6a35b061507481908719c10ca850a036`	completed	June 19, 2026, 9:10 p.m.
NED2	Entity disambiguation (via description)	`batch_6a35b150fc008190a481ac837ac996c6`	completed	June 19, 2026, 9:14 p.m.
PD	Predicate disambiguation	`batch_6a0379f505c88190ac0879ab422c3054`	completed	May 12, 2026, 7:05 p.m.
PDg	Predicate description generation	`batch_6a037c80ba448190853011097a151b7e`	completed	May 12, 2026, 7:16 p.m.

Created at: May 1, 2026, 1:40 a.m.