Triple

T27575992
Position Surface form Disambiguated ID Type / Status
Subject Joe Foster E699465 entity
Predicate memberOf P10 FINISHED
Object The Television Personalities
The Television Personalities are an English post-punk/indie pop band known for their lo-fi sound, witty and nostalgic lyrics, and influential role in the UK underground music scene from the late 1970s onward.
E1781220 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 Television Personalities | Statement: [Joe Foster, memberOf, The Television Personalities]
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 Television Personalities
Triple: [Joe Foster, memberOf, The Television Personalities]
Generated description
The Television Personalities are an English post-punk/indie pop band known for their lo-fi sound, witty and nostalgic lyrics, and influential role in the UK underground music scene from the late 1970s onward.

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_69ef6a4cb8b881909b3a8d630fd89df2 completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f62feff63881908af9a0469211da29 completed May 2, 2026, 5:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12d0d25f308190b835599956a2887b completed May 24, 2026, 10:20 a.m.
NEDg Description generation batch_6a12d18a985c819080daa18aa946feaa completed May 24, 2026, 10:23 a.m.
NED2 Entity disambiguation (via description) batch_6a12d290bc5081909bd6c027b8a5b4d4 completed May 24, 2026, 10:27 a.m.
Created at: April 27, 2026, 2:01 p.m.