Triple

T29806882
Position Surface form Disambiguated ID Type / Status
Subject Little Fictions E756861 entity
Predicate composer P1361 FINISHED
Object Craig Potter
Craig Potter is a British musician and producer best known as the keyboardist and a key creative force in the band Elbow.
E758578 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: Craig Potter | Statement: [Little Fictions, composer, Craig Potter]
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: Craig Potter
Triple: [Little Fictions, composer, Craig Potter]
Generated description
Craig Potter is a British musician and producer best known as the keyboardist and a key creative force in the band Elbow.

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_69f2245584848190ad4cab1f07752ccb completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f6752b87848190bc813937dc3b9d03 completed May 2, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2856d6cc54819091182059777568d7 completed June 9, 2026, 6:09 p.m.
NEDg Description generation batch_6a2857df4f108190aff6a5ec5a3ee305 completed June 9, 2026, 6:13 p.m.
NED2 Entity disambiguation (via description) batch_6a2858b75ed08190b2c62775ccdf9fd3 completed June 9, 2026, 6:17 p.m.
Created at: April 29, 2026, 5:21 p.m.