Triple

T34145879
Position Surface form Disambiguated ID Type / Status
Subject Leonor Fini E875853 entity
Predicate notableWork P4 FINISHED
Object The Ends of the World
The Ends of the World is a surreal, imaginative work by Argentine-Italian artist Leonor Fini, reflecting her distinctive dreamlike style and fascination with the fantastical.
E2081706 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: The Ends of the World | Statement: [Leonor Fini, notableWork, The Ends of the World]
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: The Ends of the World
Triple: [Leonor Fini, notableWork, The Ends of the World]
Generated description
The Ends of the World is a surreal, imaginative work by Argentine-Italian artist Leonor Fini, reflecting her distinctive dreamlike style and fascination with the fantastical.

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_69f349abaa508190a820f206620efddc completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f70f90c5708190a522217f1342dee8 completed May 3, 2026, 9:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36b7828424819095309a21b5fce487 completed June 20, 2026, 3:53 p.m.
NEDg Description generation batch_6a36b81f3d788190bacdb292b17eac16 completed June 20, 2026, 3:56 p.m.
NED2 Entity disambiguation (via description) batch_6a36b8ce8540819093861084c09a2007 completed June 20, 2026, 3:59 p.m.
Created at: May 1, 2026, 1:54 a.m.