Triple

T25887347
Position Surface form Disambiguated ID Type / Status
Subject Susilo Bambang Yudhoyono E652225 entity
Predicate notableWork P4 FINISHED
Object The Spirit of Democracy (book)
The Spirit of Democracy is a book by former Indonesian president Susilo Bambang Yudhoyono reflecting on democratic governance, political reform, and leadership.
E1700360 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 Spirit of Democracy (book) | Statement: [Susilo Bambang Yudhoyono, notableWork, The Spirit of Democracy (book)]
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 Spirit of Democracy (book)
Triple: [Susilo Bambang Yudhoyono, notableWork, The Spirit of Democracy (book)]
Generated description
The Spirit of Democracy is a book by former Indonesian president Susilo Bambang Yudhoyono reflecting on democratic governance, political reform, and leadership.

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_69e7ab3b92cc81908febd90317862647 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f603446aa88190852cc9bb25f30655 completed May 2, 2026, 1:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10ecbaa7688190be76a7a0dd774166 completed May 22, 2026, 11:54 p.m.
NEDg Description generation batch_6a10eeb038f881909afeb91e2b1a65cc completed May 23, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_6a10ef0f21cc819091b3114d8614d8ac completed May 23, 2026, 12:04 a.m.
Created at: April 22, 2026, 8:18 a.m.