Triple

T30488480
Position Surface form Disambiguated ID Type / Status
Subject Cecily Bonville, 7th Baroness Harington E775790 entity
Predicate child P120 FINISHED
Object Thomas Grey, 2nd Marquess of Dorset
Thomas Grey, 2nd Marquess of Dorset, was an influential English nobleman and courtier of the late 15th and early 16th centuries, prominent in the politics of the early Tudor period.
E1920500 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: Thomas Grey, 2nd Marquess of Dorset | Statement: [Cecily Bonville, 7th Baroness Harington, child, Thomas Grey, 2nd Marquess of Dorset]
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: Thomas Grey, 2nd Marquess of Dorset
Triple: [Cecily Bonville, 7th Baroness Harington, child, Thomas Grey, 2nd Marquess of Dorset]
Generated description
Thomas Grey, 2nd Marquess of Dorset, was an influential English nobleman and courtier of the late 15th and early 16th centuries, prominent in the politics of the early Tudor period.

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_69f22497f91c8190afa7165bc900accd completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f687470d308190897ede84a93ad4f2 completed May 2, 2026, 11:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2856e777448190beaeb69b0cce341b completed June 9, 2026, 6:09 p.m.
NEDg Description generation batch_6a28576e33808190a5ccbb4f0e7eb431 completed June 9, 2026, 6:11 p.m.
NED2 Entity disambiguation (via description) batch_6a2857fab72c8190a89b5ec5ced6aa17 completed June 9, 2026, 6:14 p.m.
Created at: April 29, 2026, 8:13 p.m.