Triple

T26768337
Position Surface form Disambiguated ID Type / Status
Subject Seán Bourke E675007 entity
Predicate wrote P2831 FINISHED
Object The Springing of George Blake
The Springing of George Blake is a book by Seán Bourke recounting his role in the dramatic 1966 prison escape of British double agent George Blake from Wormwood Scrubs.
 E1742378 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 Springing of George Blake | Statement: [Seán Bourke, wrote, The Springing of George Blake]
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 Springing of George Blake
Triple: [Seán Bourke, wrote, The Springing of George Blake]
Generated description
The Springing of George Blake is a book by Seán Bourke recounting his role in the dramatic 1966 prison escape of British double agent George Blake from Wormwood Scrubs.

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_69eecda85298819097ee1c38a3d772e7 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f6192a12ac8190a92158e548f4d5c8 completed May 2, 2026, 3:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12095051ac8190a80b4ce38366e990 completed May 23, 2026, 8:08 p.m.
NEDg Description generation batch_6a120a6fdd60819090c963c9a5577186 completed May 23, 2026, 8:13 p.m.
NED2 Entity disambiguation (via description) batch_6a120b39cddc8190a6c89274fc238b1a completed May 23, 2026, 8:16 p.m.
Created at: April 27, 2026, 4:01 a.m.