Triple

T29130630
Position Surface form Disambiguated ID Type / Status
Subject Battle of Orthez E738364 entity
Predicate commander P1061 FINISHED
Object Rowland Hill
Rowland Hill was a British Army general and trusted subordinate of the Duke of Wellington, noted for his leadership in the Peninsular War and later service as Commander-in-Chief of the Forces.
E1850479 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: Rowland Hill | Statement: [Battle of Orthez, commander, Rowland Hill]
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: Rowland Hill
Triple: [Battle of Orthez, commander, Rowland Hill]
Generated description
Rowland Hill was a British Army general and trusted subordinate of the Duke of Wellington, noted for his leadership in the Peninsular War and later service as Commander-in-Chief of the Forces.

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_69f07cb29cdc8190afa55444553de60c completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f6622cf1d08190954d384716a6cbac completed May 2, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2537d40a648190806ef81d97c35b3c completed June 7, 2026, 9:20 a.m.
NEDg Description generation batch_6a253bbd62288190b2cc1a79051748a7 completed June 7, 2026, 9:37 a.m.
NED2 Entity disambiguation (via description) batch_6a253f918e1081909cc569d20fa9bf35 completed June 7, 2026, 9:53 a.m.
Created at: April 28, 2026, 11:31 a.m.