Triple

T30358537
Position Surface form Disambiguated ID Type / Status
Subject Sony FE 200-600mm f/5.6-6.3 G OSS E772209 entity
Predicate coatings P81140 FINISHED
Object Sony Nano AR Coating
Sony Nano AR Coating is Sony’s advanced anti-reflective lens coating technology designed to reduce flare and ghosting for improved contrast and clarity in photographic and video imaging.
 E1911298 NE FINISHED

How this triple was built (3 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: Sony Nano AR Coating | Statement: [Sony FE 200-600mm f/5.6-6.3 G OSS, coatings, Sony Nano AR Coating]
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: Sony Nano AR Coating
Triple: [Sony FE 200-600mm f/5.6-6.3 G OSS, coatings, Sony Nano AR Coating]
Generated description
Sony Nano AR Coating is Sony’s advanced anti-reflective lens coating technology designed to reduce flare and ghosting for improved contrast and clarity in photographic and video imaging.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: coatings
Context triple: [Sony FE 200-600mm f/5.6-6.3 G OSS, coatings, Sony Nano AR Coating]
  • A. coatingType chosen
    Indicates the type or kind of coating applied to or associated with an entity.
  • B. coatingFunction
    Indicates that one entity serves as a coating or covering layer that provides a specific protective or functional effect to another entity.
  • C. skeletonCoating
    Indicates that one entity serves as a coating, covering, or outer layer on the skeleton of another entity.
  • D. paints
    Indicates that one entity applies paint to create, cover, or decorate another entity.
  • E. glaze
    Indicates that an agent coats or covers a surface of an entity with a smooth, often shiny or protective, layer or substance.
  • F. None of above.

Provenance (6 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_69f2248c6f5c8190a6177842bf791a3c completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f682417ec08190982dd9acf7219742 completed May 2, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a277c30dc8081909f1ae12e7af8c443 completed June 9, 2026, 2:36 a.m.
NEDg Description generation batch_6a277e4e46b481908a400af58dceb433 completed June 9, 2026, 2:45 a.m.
NED2 Entity disambiguation (via description) batch_6a277ec7736c8190a53f3303ac6a5b36 completed June 9, 2026, 2:47 a.m.
PD Predicate disambiguation batch_69f678d019fc8190913662cd2f87b857 completed May 2, 2026, 10:21 p.m.
Created at: April 29, 2026, 7:57 p.m.