Triple

T34727239

Position	Surface form	Disambiguated ID	Type / Status
Subject	Kabuki theater	`E1001103`	entity
Predicate	typicalStageFeature	`P165726`	FINISHED
Object	hanamichi Hanamichi is the elevated runway-style passageway in Kabuki theaters that extends from the stage through the audience, allowing actors dramatic entrances, exits, and close interaction with spectators.	`E2109862`	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: hanamichi | Statement: [Kabuki theater, typicalStageFeature, hanamichi]

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: hanamichi
Triple: [Kabuki theater, typicalStageFeature, hanamichi]

Generated description

Hanamichi is the elevated runway-style passageway in Kabuki theaters that extends from the stage through the audience, allowing actors dramatic entrances, exits, and close interaction with spectators.

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

Target predicate: typicalStageFeature
Context triple: [Kabuki theater, typicalStageFeature, hanamichi]

A. typicalFeatures
Indicates that the related entities are characteristic or commonly occurring features or attributes of something.
B. level1Feature
Indicates that one entity possesses or is associated with a primary or first-tier feature of another entity.
C. stageActionFeature
Indicates that a particular action is performed or occurs during a specific stage or phase of a process or workflow.
D. coreStageType
Indicates the specific kind or classification of a core stage within a larger process, system, or lifecycle.
E. stageAppearanceFeature chosen
Indicates a characteristic or attribute that is present or displayed in an entity’s stage appearance.
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_69f76daeb6e48190a4c9a6b0edc80f72`	completed	May 3, 2026, 3:45 p.m.
NER	Named-entity recognition	`batch_6a037c8c34f88190ace26f555827f23e`	completed	May 12, 2026, 7:16 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a375be9a154819086beb6770fa44ae5`	completed	June 21, 2026, 3:35 a.m.
NEDg	Description generation	`batch_6a375cce6a748190989f2fffd5341e3c`	completed	June 21, 2026, 3:38 a.m.
NED2	Entity disambiguation (via description)	`batch_6a375d9623888190b8766e4f1a5bd898`	completed	June 21, 2026, 3:42 a.m.
PD	Predicate disambiguation	`batch_6a0379fd7aac8190873077e63873aa72`	completed	May 12, 2026, 7:05 p.m.

Created at: May 3, 2026, 3:59 p.m.