Triple

T36407182

Position	Surface form	Disambiguated ID	Type / Status
Subject	Basil Hallward's portrait	`E896777`	entity
Predicate	originalLocationInStory	`P9801`	FINISHED
Object	Basil Hallward's studio Basil Hallward's studio is the secluded London workspace where the artist paints Dorian Gray’s portrait and where key events of Oscar Wilde’s novel unfold.	`E2181354`	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: Basil Hallward's studio | Statement: [Basil Hallward's portrait, originalLocationInStory, Basil Hallward's studio]

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: Basil Hallward's studio
Triple: [Basil Hallward's portrait, originalLocationInStory, Basil Hallward's studio]

Generated description

Basil Hallward's studio is the secluded London workspace where the artist paints Dorian Gray’s portrait and where key events of Oscar Wilde’s novel unfold.

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

Target predicate: originalLocationInStory
Context triple: [Basil Hallward's portrait, originalLocationInStory, Basil Hallward's studio]

A. positionInStory
Indicates the point or role an event, character, or element occupies within the overall sequence or structure of a story.
B. locationOfNarrative chosen
Indicates the place or setting where the events or story described in the narrative occur.
C. hasOriginStoryLocation
Indicates that an entity’s origin story takes place at or is associated with a specific location.
D. originalLocationStatus
Indicates the status or condition of an entity’s original location, such as whether it remains, has changed, or is otherwise affected.
E. locationWithinFiction
Indicates that one fictional location is situated inside or contained within another fictional location.
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_69f76e53b81081908d3b81860593f38a`	completed	May 3, 2026, 3:48 p.m.
NER	Named-entity recognition	`batch_6a037c8d06cc8190ab6a5e18d9d2571e`	completed	May 12, 2026, 7:16 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a39b446da2c819084561b0a0118e41d`	completed	June 22, 2026, 10:16 p.m.
NEDg	Description generation	`batch_6a39b606ff6c8190bab885ad364692c6`	completed	June 22, 2026, 10:24 p.m.
NED2	Entity disambiguation (via description)	`batch_6a39b6d4ad4c8190b9f79b26b380f446`	completed	June 22, 2026, 10:27 p.m.
PD	Predicate disambiguation	`batch_6a037a0a54cc8190868c1bfa1590d1a6`	completed	May 12, 2026, 7:05 p.m.

Created at: May 3, 2026, 4:10 p.m.