Triple

T18528482
Position Surface form Disambiguated ID Type / Status
Subject Rasmus Lerdorf E452777 entity
Predicate employer P7 FINISHED
Object Etsy NE NERFINISHED

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: Etsy | Statement: [Rasmus Lerdorf, employer, Etsy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Etsy
Context triple: [Rasmus Lerdorf, employer, Etsy]
  • A. Etsy chosen
    Etsy is an online marketplace specializing in handmade, vintage, and unique factory-manufactured items, connecting independent sellers with buyers worldwide.
  • B. ArtistShare
    ArtistShare is an online fan-funded record label and platform known for pioneering the crowdfunding model for music projects.
  • C. eBay
    eBay is a global e-commerce company best known for its online auction and consumer-to-consumer sales platform.
  • D. Crafts Gallery
    Crafts Gallery is a specialized branch of the National Museum of Modern Art, Tokyo, dedicated to exhibiting and preserving modern and contemporary Japanese crafts and design.
  • E. Marketplace
    Marketplace is a section of the Bitcointalk.org forum where users buy, sell, and trade goods, services, and cryptocurrencies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e533fad2d081908395914d6a6b4eb1 completed April 19, 2026, 7:58 p.m.
Created at: April 10, 2026, 11:37 a.m.