Triple

T25627299
Position Surface form Disambiguated ID Type / Status
Subject Battle of Mortara E642467 entity
Predicate commander P1061 FINISHED
Object Wojciech Chrzanowski
Wojciech Chrzanowski was a 19th-century Polish general and military strategist who served in various European armies, including in the First Italian War of Independence.
E1904856 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: Wojciech Chrzanowski | Statement: [Battle of Mortara, commander, Wojciech Chrzanowski]
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: Wojciech Chrzanowski
Triple: [Battle of Mortara, commander, Wojciech Chrzanowski]
Generated description
Wojciech Chrzanowski was a 19th-century Polish general and military strategist who served in various European armies, including in the First Italian War of Independence.

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_69e77e7bd4548190a0c691b8a2f27ff1 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f5fa248b6c8190b79173bc9d806f21 completed May 2, 2026, 1:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a276413753c8190bc46aa676b646345 completed June 9, 2026, 12:53 a.m.
NEDg Description generation batch_6a2764dcc7148190b7ba48ce073f845f completed June 9, 2026, 12:57 a.m.
NED2 Entity disambiguation (via description) batch_6a2765db45d88190817f04133b5efd75 completed June 9, 2026, 1:01 a.m.
Created at: April 21, 2026, 5:15 p.m.