Triple

T26748182
Position Surface form Disambiguated ID Type / Status
Subject RMS Lancastria E674459 entity
Predicate builder P3143 FINISHED
Object William Beardmore and Company
William Beardmore and Company was a major Scottish engineering and shipbuilding firm based on the River Clyde, known for constructing large ocean liners, warships, and other heavy industrial products in the late 19th and early 20th centuries.
E1753395 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: William Beardmore and Company | Statement: [RMS Lancastria, builder, William Beardmore and Company]
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: William Beardmore and Company
Triple: [RMS Lancastria, builder, William Beardmore and Company]
Generated description
William Beardmore and Company was a major Scottish engineering and shipbuilding firm based on the River Clyde, known for constructing large ocean liners, warships, and other heavy industrial products in the late 19th and early 20th centuries.

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_69eecda63a3881908095c47900692e65 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f61886fd78819096f521fd8b9b1092 completed May 2, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a123a984bbc8190a9aec39751323e61 completed May 23, 2026, 11:39 p.m.
NEDg Description generation batch_6a123b7235d081909cc231c0b1cc9b30 completed May 23, 2026, 11:42 p.m.
NED2 Entity disambiguation (via description) batch_6a123c1995688190a630954191d4e905 completed May 23, 2026, 11:45 p.m.
Created at: April 27, 2026, 3:52 a.m.