Triple

T27276886
Position Surface form Disambiguated ID Type / Status
Subject The Royal Scots E688217 entity
Predicate raisedBy P17573 FINISHED
Object Sir John Hepburn
Sir John Hepburn was a 17th-century Scottish soldier and mercenary commander best known for founding and leading the regiment that became The Royal Scots, the oldest infantry regiment in the British Army.
 E1765069 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: Sir John Hepburn | Statement: [The Royal Scots, raisedBy, Sir John Hepburn]
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: Sir John Hepburn
Triple: [The Royal Scots, raisedBy, Sir John Hepburn]
Generated description
Sir John Hepburn was a 17th-century Scottish soldier and mercenary commander best known for founding and leading the regiment that became The Royal Scots, the oldest infantry regiment in the British Army.

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_69ef3558cf8881909595ef89daf6e14a completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f6272906c88190ad37638c13462e51 completed May 2, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1262914c608190a9780855e97e6083 completed May 24, 2026, 2:29 a.m.
NEDg Description generation batch_6a1268eb06cc8190a9bcb4397775c34c completed May 24, 2026, 2:56 a.m.
NED2 Entity disambiguation (via description) batch_6a126983a194819093db115c63acc22f completed May 24, 2026, 2:59 a.m.
Created at: April 27, 2026, 11:03 a.m.