Triple

T35748121
Position Surface form Disambiguated ID Type / Status
Subject Octo E1033241 entity
Predicate notableModel P1503 FINISHED
Object Octo Finissimo Chronograph
The Octo Finissimo Chronograph is an ultra-thin luxury chronograph watch from Bulgari’s Octo Finissimo line, renowned for its record-breaking slim profile and contemporary architectural design.
E2155529 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: Octo Finissimo Chronograph | Statement: [Octo, notableModel, Octo Finissimo Chronograph]
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: Octo Finissimo Chronograph
Triple: [Octo, notableModel, Octo Finissimo Chronograph]
Generated description
The Octo Finissimo Chronograph is an ultra-thin luxury chronograph watch from Bulgari’s Octo Finissimo line, renowned for its record-breaking slim profile and contemporary architectural design.

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_69f76e119d508190a3873cb302063832 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a1954f3c81909a38104d1146e162 completed May 3, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3885f054108190aab1c61e1baa0a41 completed June 22, 2026, 12:46 a.m.
NEDg Description generation batch_6a38868142e8819087358ae9d3ece01b completed June 22, 2026, 12:49 a.m.
NED2 Entity disambiguation (via description) batch_6a388c6d344c81908659c78610b05daf completed June 22, 2026, 1:14 a.m.
Created at: May 3, 2026, 4:06 p.m.