Triple

T36972831
Position Surface form Disambiguated ID Type / Status
Subject Socialist Campaign Group E914614 entity
Predicate hasNotableMember P304 FINISHED
Object John Trickett
John Trickett is a British Labour Party politician and Member of Parliament known for his left-wing views and prominent role in the party’s Socialist Campaign Group.
E2214066 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: John Trickett | Statement: [Socialist Campaign Group, hasNotableMember, John Trickett]
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: John Trickett
Triple: [Socialist Campaign Group, hasNotableMember, John Trickett]
Generated description
John Trickett is a British Labour Party politician and Member of Parliament known for his left-wing views and prominent role in the party’s Socialist Campaign Group.

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_69f76e8d13b4819089af24a47ce092fc completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f9ff4f91188190b9a72a2bf06c8ff2 completed May 5, 2026, 2:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3f69fd7c048190bb88417f97ef5ba3 completed June 27, 2026, 6:13 a.m.
NEDg Description generation batch_6a3f6b95bae48190a8d7210e29994c81 completed June 27, 2026, 6:20 a.m.
NED2 Entity disambiguation (via description) batch_6a3f6c102114819088b32c3f81f9284c completed June 27, 2026, 6:22 a.m.
Created at: May 3, 2026, 4:14 p.m.