Triple

T38497290
Position Surface form Disambiguated ID Type / Status
Subject Gerard II of Guelders E919727 entity
Predicate child P120 FINISHED
Object Richardis of Guelders
Richardis of Guelders was a medieval noblewoman from the ducal House of Guelders, known primarily as a daughter of Count Gerard II and a member of the regional ruling elite in the Low Countries.
E2287337 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: Richardis of Guelders | Statement: [Gerard II of Guelders, child, Richardis of Guelders]
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: Richardis of Guelders
Triple: [Gerard II of Guelders, child, Richardis of Guelders]
Generated description
Richardis of Guelders was a medieval noblewoman from the ducal House of Guelders, known primarily as a daughter of Count Gerard II and a member of the regional ruling elite in the Low Countries.

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_69f76e9ddd4481908f8c04439d848f9d completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fcd2484ff881908aadb32f2b0ab23e completed May 7, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a477e9ab32481908074e7a5e5659af7 completed July 3, 2026, 9:19 a.m.
NEDg Description generation batch_6a477ef2c4f88190af34236cfdf06483 completed July 3, 2026, 9:20 a.m.
NED2 Entity disambiguation (via description) batch_6a47806398ec8190832d0cfd5d235b0b completed July 3, 2026, 9:26 a.m.
Created at: May 3, 2026, 4:31 p.m.