Triple

T30842865
Position Surface form Disambiguated ID Type / Status
Subject Leica M-mount E785557 entity
Predicate thirdPartySupport P182259 FINISHED
Object 7Artisans M-mount lenses
7Artisans M-mount lenses are affordable, manual-focus photographic lenses made by the Chinese manufacturer 7Artisans for use on Leica M-mount rangefinder cameras and compatible systems.
E1933624 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: 7Artisans M-mount lenses | Statement: [Leica M-mount, thirdPartySupport, 7Artisans M-mount lenses]
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: 7Artisans M-mount lenses
Triple: [Leica M-mount, thirdPartySupport, 7Artisans M-mount lenses]
Generated description
7Artisans M-mount lenses are affordable, manual-focus photographic lenses made by the Chinese manufacturer 7Artisans for use on Leica M-mount rangefinder cameras and compatible systems.

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_69f224b850848190a4af4ccf8ddadcdf completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f78ba3e28081908c236f60c1f6a28d completed May 3, 2026, 5:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a28bbf4e3e081908eb74bac55d221ab completed June 10, 2026, 1:20 a.m.
NEDg Description generation batch_6a28bd3f31d0819099e84d838827c47d completed June 10, 2026, 1:26 a.m.
NED2 Entity disambiguation (via description) batch_6a28bd9d23e48190bcd8bcf57d7d72e8 completed June 10, 2026, 1:27 a.m.
Created at: April 29, 2026, 8:45 p.m.