Triple

T32734464
Position Surface form Disambiguated ID Type / Status
Subject President of Interpol E837037 entity
Predicate dayToDayManagementBy P25513 FINISHED
Object Secretary-General of Interpol
The Secretary-General of Interpol is the organization’s chief executive official, responsible for overseeing its global police cooperation operations and implementing the policies set by its governing bodies.
E2023300 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: Secretary-General of Interpol | Statement: [President of Interpol, dayToDayManagementBy, Secretary-General of Interpol]
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: Secretary-General of Interpol
Triple: [President of Interpol, dayToDayManagementBy, Secretary-General of Interpol]
Generated description
The Secretary-General of Interpol is the organization’s chief executive official, responsible for overseeing its global police cooperation operations and implementing the policies set by its governing bodies.

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_69f34935fb048190ad4967420581f835 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6c903047481908cd4886be74683f5 completed May 3, 2026, 4:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34b15856b48190a940573b7a8efa53 completed June 19, 2026, 3:02 a.m.
NEDg Description generation batch_6a34b1f2f6d4819082e910d0685eb95e completed June 19, 2026, 3:05 a.m.
NED2 Entity disambiguation (via description) batch_6a34b279c8688190b257df5ca22d7dd9 completed June 19, 2026, 3:07 a.m.
Created at: May 1, 2026, 1:11 a.m.