Triple

T29946289
Position Surface form Disambiguated ID Type / Status
Subject Manuel Luís Osório, Marquis of Erval E760639 entity
Predicate positionHeld P8 FINISHED
Object Minister of War of Brazil
The Minister of War of Brazil was a former cabinet-level position responsible for overseeing the Brazilian Army and national military affairs before the creation of a unified Ministry of Defense.
E1891993 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: Minister of War of Brazil | Statement: [Manuel Luís Osório, Marquis of Erval, positionHeld, Minister of War of Brazil]
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: Minister of War of Brazil
Triple: [Manuel Luís Osório, Marquis of Erval, positionHeld, Minister of War of Brazil]
Generated description
The Minister of War of Brazil was a former cabinet-level position responsible for overseeing the Brazilian Army and national military affairs before the creation of a unified Ministry of Defense.

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_69f2246562b881909d57622f4086d43d completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f6780c47b08190adbfa6f39c9be072 completed May 2, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27142ea05881908d55b064ac91802f completed June 8, 2026, 7:12 p.m.
NEDg Description generation batch_6a27151f69408190952d4d3ad9a3fc38 completed June 8, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_6a2718ad777081909ac0744b1551af12 completed June 8, 2026, 7:31 p.m.
Created at: April 29, 2026, 6:24 p.m.