Triple

T33904744
Position Surface form Disambiguated ID Type / Status
Subject At Home with the Braithwaites E869149 entity
Predicate mainCharacter P1183 FINISHED
Object Virginia Braithwaite
Virginia Braithwaite is the central character of the British television drama "At Home with the Braithwaites," around whom the show's family and personal storylines revolve.
E2120359 NE FINISHED

How this triple was built (2 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: Virginia Braithwaite | Statement: [At Home with the Braithwaites, mainCharacter, Virginia Braithwaite]
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: Virginia Braithwaite
Triple: [At Home with the Braithwaites, mainCharacter, Virginia Braithwaite]
Generated description
Virginia Braithwaite is the central character of the British television drama "At Home with the Braithwaites," around whom the show's family and personal storylines revolve.

Provenance (5 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_69f34997703c8190866b1d404bce531f completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f70185c9b0819086578ffc61822d36 completed May 3, 2026, 8:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a37b24d78e08190b2129384288e5383 completed June 21, 2026, 9:43 a.m.
NEDg Description generation batch_6a37b2f861ac8190904ac6ae21ca28c5 completed June 21, 2026, 9:46 a.m.
NED2 Entity disambiguation (via description) batch_6a37b457fdd08190965a33f413738cdb completed June 21, 2026, 9:52 a.m.
Created at: May 1, 2026, 1:48 a.m.