Triple

T25775539
Position Surface form Disambiguated ID Type / Status
Subject Charles Mordaunt, 3rd Earl of Peterborough E649138 entity
Predicate alsoKnownAs P39 FINISHED
Object Lord Mordaunt
Lord Mordaunt is the courtesy title used by Charles Mordaunt, 3rd Earl of Peterborough, a prominent English nobleman, soldier, and diplomat of the late 17th and early 18th centuries.
E1694823 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: Lord Mordaunt | Statement: [Charles Mordaunt, 3rd Earl of Peterborough, alsoKnownAs, Lord Mordaunt]
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: Lord Mordaunt
Triple: [Charles Mordaunt, 3rd Earl of Peterborough, alsoKnownAs, Lord Mordaunt]
Generated description
Lord Mordaunt is the courtesy title used by Charles Mordaunt, 3rd Earl of Peterborough, a prominent English nobleman, soldier, and diplomat of the late 17th and early 18th 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_69e7ab333b508190b6d708d8d9a328ed completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f5fe5c90dc8190910ea0d8f7f35cd7 completed May 2, 2026, 1:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10cc20f4d88190a9f1ddb294de8272 completed May 22, 2026, 9:35 p.m.
NEDg Description generation batch_6a10cde569f08190b5999538135c72a9 completed May 22, 2026, 9:43 p.m.
NED2 Entity disambiguation (via description) batch_6a10ce89ce6481908d758175a37488b8 completed May 22, 2026, 9:45 p.m.
Created at: April 22, 2026, 5:33 a.m.