Triple

T26959206

Position	Surface form	Disambiguated ID	Type / Status
Subject	Denise Dowse	`E678989`	entity
Predicate	stageDirectorAt	`P85241`	FINISHED
Object	Inner City Cultural Center Inner City Cultural Center was a pioneering multicultural arts and theater institution in Los Angeles that nurtured diverse talent and community-based performance.	`E1752096`	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: Inner City Cultural Center | Statement: [Denise Dowse, stageDirectorAt, Inner City Cultural Center]

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: Inner City Cultural Center
Triple: [Denise Dowse, stageDirectorAt, Inner City Cultural Center]

Generated description

Inner City Cultural Center was a pioneering multicultural arts and theater institution in Los Angeles that nurtured diverse talent and community-based performance.

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

Target predicate: stageDirectorAt
Context triple: [Denise Dowse, stageDirectorAt, Inner City Cultural Center]

A. stageDirectionName
Indicates the specific label or term used to identify a particular stage direction within a performance or script.
B. stageDirectionDescription
Indicates a textual description of how an action, movement, or expression should be performed or presented within a staged or scripted context.
C. directorOfScene
Indicates that one entity serves as the director responsible for the creative and practical oversight of a particular scene.
D. stageDesigner
Indicates that one entity is responsible for designing or creating the stage or set for a performance or event in relation to another entity.
E. directedStageProduction chosen
Indicates that one entity served as the director responsible for staging and overseeing a particular theatrical or stage production involving another entity.
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_69eeeb4e75f08190b14fc91ca4a91488`	completed	April 27, 2026, 4:51 a.m.
NER	Named-entity recognition	`batch_69f6352fdb788190b9bad30243690743`	completed	May 2, 2026, 5:32 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a12299ee29c81909d86c73a98faafb8`	completed	May 23, 2026, 10:26 p.m.
NEDg	Description generation	`batch_6a122a6dd674819088bf5cf55ac55ec5`	completed	May 23, 2026, 10:30 p.m.
NED2	Entity disambiguation (via description)	`batch_6a122b453e888190a195e8247f682604`	completed	May 23, 2026, 10:33 p.m.
PD	Predicate disambiguation	`batch_69f631850ae08190a0ba51e4f1e4ccb3`	completed	May 2, 2026, 5:16 p.m.

Created at: April 27, 2026, 6:29 a.m.