Triple

T36943648
Position Surface form Disambiguated ID Type / Status
Subject Robert de Beaumont, 4th Earl of Leicester E913845 entity
Predicate nobleTitle P914 FINISHED
Object 4th Earl of Leicester
The 4th Earl of Leicester was an English noble title in the High Middle Ages, held by Robert de Beaumont, a powerful magnate and influential figure in the politics of the Angevin kings.
E2225867 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: 4th Earl of Leicester | Statement: [Robert de Beaumont, 4th Earl of Leicester, nobleTitle, 4th Earl of Leicester]
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: 4th Earl of Leicester
Triple: [Robert de Beaumont, 4th Earl of Leicester, nobleTitle, 4th Earl of Leicester]
Generated description
The 4th Earl of Leicester was an English noble title in the High Middle Ages, held by Robert de Beaumont, a powerful magnate and influential figure in the politics of the Angevin kings.

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_69f76e8a6a5c81909c1febf32bf3fe23 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f9fed58b648190b4b1879f2e82f5d5 completed May 5, 2026, 2:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4076de03388190b70d254b57c82294 completed June 28, 2026, 1:20 a.m.
NEDg Description generation batch_6a4077ec12c481909b8ffd11d8ac5800 completed June 28, 2026, 1:25 a.m.
NED2 Entity disambiguation (via description) batch_6a4078ec90748190898ab60d097411ba completed June 28, 2026, 1:29 a.m.
Created at: May 3, 2026, 4:13 p.m.