Triple

T31155683
Position Surface form Disambiguated ID Type / Status
Subject Anne Lennard, Countess of Sussex E794199 entity
Predicate marriedName P18 FINISHED
Object Anne Lennard
Anne Lennard, Countess of Sussex, was an English noblewoman of the late 17th and early 18th centuries, notable as the daughter of Charles II of England and his mistress Louise de Kérouaille.
 E1995443 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 Lennard | Statement: [Anne Lennard, Countess of Sussex, marriedName, Anne Lennard]
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 Lennard
Triple: [Anne Lennard, Countess of Sussex, marriedName, Anne Lennard]
Generated description
Anne Lennard, Countess of Sussex, was an English noblewoman of the late 17th and early 18th centuries, notable as the daughter of Charles II of England and his mistress Louise de Kérouaille.

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_69f224d41bb48190a5621cd1485e3a30 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f697f3d0e881909ec6c3e2cfbed20f completed May 3, 2026, 12:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f0baafeb88190bec9718e1d7b66b3 completed June 14, 2026, 8:14 p.m.
NEDg Description generation batch_6a2f0ca5db008190a1de72d58c55d0bb completed June 14, 2026, 8:18 p.m.
NED2 Entity disambiguation (via description) batch_6a2f0e1ead7c8190bada929583412e06 completed June 14, 2026, 8:25 p.m.
Created at: April 29, 2026, 9:06 p.m.