Triple

T36176207
Position Surface form Disambiguated ID Type / Status
Subject Brenner debate E1046580 entity
Predicate hasKeyFigure P810 FINISHED
Object Alex Callinicos
Alex Callinicos is a British Marxist theorist, political philosopher, and activist known for his influential writings on capitalism, imperialism, and socialist strategy.
E2172773 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: Alex Callinicos | Statement: [Brenner debate, hasKeyFigure, Alex Callinicos]
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: Alex Callinicos
Triple: [Brenner debate, hasKeyFigure, Alex Callinicos]
Generated description
Alex Callinicos is a British Marxist theorist, political philosopher, and activist known for his influential writings on capitalism, imperialism, and socialist strategy.

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_69f76e3c1b10819081fc7a807a71cf84 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b4f7e9a08190a86ca247daf65bc6 completed May 3, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a390d5cafc481909d61c55d1aa1d891 completed June 22, 2026, 10:24 a.m.
NEDg Description generation batch_6a392e28d72881909f11383ec0fde133 completed June 22, 2026, 12:44 p.m.
NED2 Entity disambiguation (via description) batch_6a392f022a28819087ba5cba94b5840e completed June 22, 2026, 12:48 p.m.
Created at: May 3, 2026, 4:08 p.m.