Triple

T24767313
Position Surface form Disambiguated ID Type / Status
Subject Fane family E619620 entity
Predicate hasMember P10 FINISHED
Object Francis Fane, 1st Earl of Westmorland
Francis Fane, 1st Earl of Westmorland, was an early 17th-century English nobleman, politician, and landowner who rose to prominence under King James I.
 E1678015 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: Francis Fane, 1st Earl of Westmorland | Statement: [Fane family, hasMember, Francis Fane, 1st Earl of Westmorland]
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: Francis Fane, 1st Earl of Westmorland
Triple: [Fane family, hasMember, Francis Fane, 1st Earl of Westmorland]
Generated description
Francis Fane, 1st Earl of Westmorland, was an early 17th-century English nobleman, politician, and landowner who rose to prominence under King James I.

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_69e2fabd04488190a2d13c97be745a2d completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f410a6a5d08190b8f518b3cc13a2e7 completed May 1, 2026, 2:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a108953d73c819087d6852a6938c440 completed May 22, 2026, 4:50 p.m.
NEDg Description generation batch_6a108a429fd4819086b842d38c777075 completed May 22, 2026, 4:54 p.m.
NED2 Entity disambiguation (via description) batch_6a108ad0b48c8190b31b28d870e3b200 completed May 22, 2026, 4:56 p.m.
Created at: April 18, 2026, 4:28 a.m.