Triple

T26040657
Position Surface form Disambiguated ID Type / Status
Subject Lionel de Rothschild E647680 entity
Predicate child P120 FINISHED
Object Leonora de Rothschild
Leonora de Rothschild was a member of the prominent British branch of the Rothschild banking family and the daughter of financier and politician Lionel de Rothschild.
E1721040 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: Leonora de Rothschild | Statement: [Lionel de Rothschild, child, Leonora de Rothschild]
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: Leonora de Rothschild
Triple: [Lionel de Rothschild, child, Leonora de Rothschild]
Generated description
Leonora de Rothschild was a member of the prominent British branch of the Rothschild banking family and the daughter of financier and politician Lionel de Rothschild.

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_69e77e8c88f08190858c4c81bd2e1b9a completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f60622ddf48190b95318ea7a3676ce completed May 2, 2026, 2:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a119a385c8881908ad5e26437fbbefb completed May 23, 2026, 12:14 p.m.
NEDg Description generation batch_6a119aecff488190a18c1cf803b31502 completed May 23, 2026, 12:17 p.m.
NED2 Entity disambiguation (via description) batch_6a119c2d13388190869495b5b068ab15 completed May 23, 2026, 12:23 p.m.
Created at: April 22, 2026, 9:08 a.m.