Triple

T26628051
Position Surface form Disambiguated ID Type / Status
Subject Baron Hungerford E668411 entity
Predicate hasTitleHolder P1911 FINISHED
Object Anne Hastings, Countess of Shrewsbury
Anne Hastings, Countess of Shrewsbury, was an English noblewoman of the late 15th and early 16th centuries who held multiple aristocratic titles through birth and marriage, linking two prominent noble families.
E1762907 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: Anne Hastings, Countess of Shrewsbury | Statement: [Baron Hungerford, hasTitleHolder, Anne Hastings, Countess of Shrewsbury]
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: Anne Hastings, Countess of Shrewsbury
Triple: [Baron Hungerford, hasTitleHolder, Anne Hastings, Countess of Shrewsbury]
Generated description
Anne Hastings, Countess of Shrewsbury, was an English noblewoman of the late 15th and early 16th centuries who held multiple aristocratic titles through birth and marriage, linking two prominent noble families.

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_69ee9cff507c819092b95bf7219a702e completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f615eb58b08190977be06263d41613 completed May 2, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a126247cd448190aca7e73caceda298 completed May 24, 2026, 2:28 a.m.
NEDg Description generation batch_6a1266920d008190b029acd1c8efc214 completed May 24, 2026, 2:46 a.m.
NED2 Entity disambiguation (via description) batch_6a1266f0b7448190a158f776016efacd completed May 24, 2026, 2:48 a.m.
Created at: April 27, 2026, 2:23 a.m.