Triple

T24308173
Position Surface form Disambiguated ID Type / Status
Subject Eleanor of Toledo E612589 entity
Predicate child P120 FINISHED
Object Lucrezia de' Medici
Lucrezia de' Medici was a 16th-century Florentine noblewoman of the powerful Medici family, whose brief and mysterious life later inspired artistic and literary works, including Robert Browning’s poem “My Last Duchess.”
 E363381 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: Lucrezia de' Medici | Statement: [Eleanor of Toledo, child, Lucrezia de' Medici]
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: Lucrezia de' Medici
Triple: [Eleanor of Toledo, child, Lucrezia de' Medici]
Generated description
Lucrezia de' Medici was a 16th-century Florentine noblewoman of the powerful Medici family, whose brief and mysterious life later inspired artistic and literary works, including Robert Browning’s poem “My Last Duchess.”

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_69e2d7d91bb48190bc5377d17a85fb21 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f29228ede48190b05c85320f373155 completed April 29, 2026, 11:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10045919a08190a74b0f8e10f9f48a completed May 22, 2026, 7:23 a.m.
NEDg Description generation batch_6a10095d986881909082cc5a32b6d56e completed May 22, 2026, 7:44 a.m.
NED2 Entity disambiguation (via description) batch_6a1009d311b08190acf35a3ed552b9c1 completed May 22, 2026, 7:46 a.m.
Created at: April 18, 2026, 1:32 a.m.