Triple

T28893347

Position	Surface form	Disambiguated ID	Type / Status
Subject	One Folgate Street	`E732769`	entity
Predicate	occupantInFiction	`P120353`	FINISHED
Object	Emma Matthews Emma Matthews is a fictional character who becomes a resident of the highly controlled, minimalist smart home at One Folgate Street in J.P. Delaney’s psychological thriller "The Girl Before."	`E1841133`	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: Emma Matthews | Statement: [One Folgate Street, occupantInFiction, Emma Matthews]

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: Emma Matthews
Triple: [One Folgate Street, occupantInFiction, Emma Matthews]

Generated description

Emma Matthews is a fictional character who becomes a resident of the highly controlled, minimalist smart home at One Folgate Street in J.P. Delaney’s psychological thriller "The Girl Before."

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

Target predicate: occupantInFiction
Context triple: [One Folgate Street, occupantInFiction, Emma Matthews]

A. livesInFiction
Indicates that one entity exists or resides within the fictional world or narrative setting created by another entity.
B. residentInFiction chosen
Indicates that one entity is a fictional character or element that resides or exists within the fictional setting, world, or universe represented by another entity.
C. fictionalCharacter
Indicates that one entity is a fictional character that appears within the narrative world of another entity (such as a work, series, or franchise).
D. createsInFiction
Indicates that one entity is the creator or originator of another entity within a fictional or narrative context.
E. attendedByFictionalCharacter
Indicates that a fictional character is present at, participates in, or is an attendee of a particular event or gathering.
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_69f05b08c2008190ac426a035a2ed66d`	completed	April 28, 2026, 7 a.m.
NER	Named-entity recognition	`batch_69f67d3624248190a36a9b2d2e9778d4`	completed	May 2, 2026, 10:39 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a24ec32deb8819095cae7528baed53e`	completed	June 7, 2026, 3:57 a.m.
NEDg	Description generation	`batch_6a24f3f8f338819091246a60c657e8c3`	completed	June 7, 2026, 4:30 a.m.
NED2	Entity disambiguation (via description)	`batch_6a24f418018081908f81e51f8c5a68e8`	completed	June 7, 2026, 4:31 a.m.
PD	Predicate disambiguation	`batch_69f678ce54b081908c26edfd49e39c60`	completed	May 2, 2026, 10:21 p.m.

Created at: April 28, 2026, 7:56 a.m.