Triple

T24796192
Position Surface form Disambiguated ID Type / Status
Subject Thomas Radclyffe, 3rd Earl of Sussex E620388 entity
Predicate ordinalOfTitle P7922 FINISHED
Object 3rd Earl of Sussex
The 3rd Earl of Sussex was an English noble title held by Thomas Radclyffe, a prominent Tudor-era courtier and statesman who served under monarchs including Mary I and Elizabeth I.
E1657212 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: 3rd Earl of Sussex | Statement: [Thomas Radclyffe, 3rd Earl of Sussex, ordinalOfTitle, 3rd Earl of Sussex]
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: 3rd Earl of Sussex
Triple: [Thomas Radclyffe, 3rd Earl of Sussex, ordinalOfTitle, 3rd Earl of Sussex]
Generated description
The 3rd Earl of Sussex was an English noble title held by Thomas Radclyffe, a prominent Tudor-era courtier and statesman who served under monarchs including Mary I and Elizabeth I.

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_69e2fabe77c8819085f7ce6486248139 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f411069830819089baad5abc40d188 completed May 1, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10330b84288190a96eaef09b2d1e42 completed May 22, 2026, 10:42 a.m.
NEDg Description generation batch_6a10341e764c819083c10e4d151da1c6 completed May 22, 2026, 10:46 a.m.
NED2 Entity disambiguation (via description) batch_6a1034cf890881908bd25523cdb83586 completed May 22, 2026, 10:49 a.m.
Created at: April 18, 2026, 4:48 a.m.