Triple

T29830118
Position Surface form Disambiguated ID Type / Status
Subject So E757489 entity
Predicate recordingStudio P8088 FINISHED
Object Ashcombe House, Bath, England
Ashcombe House, near Bath in England, is a historic country residence best known as Peter Gabriel’s former home and the site of his early Real World recording studio.
E1887203 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: Ashcombe House, Bath, England | Statement: [So, recordingStudio, Ashcombe House, Bath, England]
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: Ashcombe House, Bath, England
Triple: [So, recordingStudio, Ashcombe House, Bath, England]
Generated description
Ashcombe House, near Bath in England, is a historic country residence best known as Peter Gabriel’s former home and the site of his early Real World recording studio.

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_69f22457c84c8190a6d9f56bc74082a9 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f6759b3e608190affbd79be09e437c completed May 2, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26e602ae9081909762e3aa14647167 completed June 8, 2026, 3:55 p.m.
NEDg Description generation batch_6a26e6a791bc8190a52d36decacde222 completed June 8, 2026, 3:58 p.m.
NED2 Entity disambiguation (via description) batch_6a26e7ff07bc8190b23d1a9793f5233b completed June 8, 2026, 4:04 p.m.
Created at: April 29, 2026, 5:33 p.m.