Triple

T37768430
Position Surface form Disambiguated ID Type / Status
Subject Geoffrey de Mandeville, 1st Earl of Essex E941478 entity
Predicate spouse P13 FINISHED
Object Rohese of Essex
Rohese of Essex was a 12th-century English noblewoman best known as the wife of Geoffrey de Mandeville, 1st Earl of Essex, and a member of the influential Anglo-Norman aristocracy.
E2242614 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: Rohese of Essex | Statement: [Geoffrey de Mandeville, 1st Earl of Essex, spouse, Rohese of Essex]
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: Rohese of Essex
Triple: [Geoffrey de Mandeville, 1st Earl of Essex, spouse, Rohese of Essex]
Generated description
Rohese of Essex was a 12th-century English noblewoman best known as the wife of Geoffrey de Mandeville, 1st Earl of Essex, and a member of the influential Anglo-Norman aristocracy.

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_69f76ee3251881909bb4451aad50752b completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fbaf1b9fa48190b1f015c13060f925 completed May 6, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40e08792e0819094f569aa8e752154 completed June 28, 2026, 8:51 a.m.
NEDg Description generation batch_6a40e18eefc88190ba28efc92a9fc5fa completed June 28, 2026, 8:55 a.m.
NED2 Entity disambiguation (via description) batch_6a40e5eb251881909402d2376b2317f2 completed June 28, 2026, 9:14 a.m.
Created at: May 3, 2026, 4:19 p.m.