Triple

T36736221
Position Surface form Disambiguated ID Type / Status
Subject Wherever You Are E907484 entity
Predicate featuredIn P626 FINISHED
Object The Choir (BBC television series)
The Choir is a BBC television documentary series in which choirmaster Gareth Malone forms and trains amateur choirs in schools, workplaces, and communities, culminating in high-profile performances.
E2197383 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: The Choir (BBC television series) | Statement: [Wherever You Are, featuredIn, The Choir (BBC television series)]
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: The Choir (BBC television series)
Triple: [Wherever You Are, featuredIn, The Choir (BBC television series)]
Generated description
The Choir is a BBC television documentary series in which choirmaster Gareth Malone forms and trains amateur choirs in schools, workplaces, and communities, culminating in high-profile performances.

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_69f76e75aa6881909b844d00a3888ee5 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c8fa6d8c8190b6bcd59c60ad2503 completed May 3, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3c172b8e8c8190a8804c4ed046da1b completed June 24, 2026, 5:43 p.m.
NEDg Description generation batch_6a3c19646eac819096e841516ac186d9 completed June 24, 2026, 5:52 p.m.
NED2 Entity disambiguation (via description) batch_6a3c58b6b1d881909f0d5fdf14de5777 completed June 24, 2026, 10:22 p.m.
Created at: May 3, 2026, 4:12 p.m.