Triple

T34923041
Position Surface form Disambiguated ID Type / Status
Subject Plana E1007198 entity
Predicate hasNotableBearer P458 FINISHED
Object Giovanni Antonio Amedeo Plana
Giovanni Antonio Amedeo Plana was a 19th-century Italian mathematician and astronomer known for his work in celestial mechanics and lunar theory.
E2117077 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: Giovanni Antonio Amedeo Plana | Statement: [Plana, hasNotableBearer, Giovanni Antonio Amedeo Plana]
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: Giovanni Antonio Amedeo Plana
Triple: [Plana, hasNotableBearer, Giovanni Antonio Amedeo Plana]
Generated description
Giovanni Antonio Amedeo Plana was a 19th-century Italian mathematician and astronomer known for his work in celestial mechanics and lunar theory.

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_69f76dc2b6b0819095a61debbd405269 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f7824ec998819093ff81cc0160835a completed May 3, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3786f9e55c8190a89f8a6a9a5753d1 completed June 21, 2026, 6:38 a.m.
NEDg Description generation batch_6a378f9e0e5881909de7792d091ddcdf completed June 21, 2026, 7:15 a.m.
NED2 Entity disambiguation (via description) batch_6a37906a102c8190a47f112103741b80 completed June 21, 2026, 7:19 a.m.
Created at: May 3, 2026, 4 p.m.