Triple

T28493692
Position Surface form Disambiguated ID Type / Status
Subject Winnaretta Singer E721045 entity
Predicate mother P120 FINISHED
Object Isabella Eugénie Boyer
Isabella Eugénie Boyer was a French socialite and heiress, best known as the widow of sewing machine magnate Isaac Merritt Singer and a prominent figure in 19th-century European high society.
E1837551 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: Isabella Eugénie Boyer | Statement: [Winnaretta Singer, mother, Isabella Eugénie Boyer]
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: Isabella Eugénie Boyer
Triple: [Winnaretta Singer, mother, Isabella Eugénie Boyer]
Generated description
Isabella Eugénie Boyer was a French socialite and heiress, best known as the widow of sewing machine magnate Isaac Merritt Singer and a prominent figure in 19th-century European high society.

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_69f01a5afdac8190ac6e72d5c100bd58 completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69f64f3e0a3c8190a42b76c4a13822a8 completed May 2, 2026, 7:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24bb820c2c8190bef6a2122717b7e8 completed June 7, 2026, 12:29 a.m.
NEDg Description generation batch_6a24bfdddd108190b1f48a0317754806 completed June 7, 2026, 12:48 a.m.
NED2 Entity disambiguation (via description) batch_6a24c40832a881908ca8c2d0b09b1458 completed June 7, 2026, 1:06 a.m.
Created at: April 28, 2026, 3:03 a.m.