Triple

T13057051
Position Surface form Disambiguated ID Type / Status
Subject Hard II Love E327605 entity
Predicate producer P490 FINISHED
Object PartyNextDoor E333039 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: PartyNextDoor | Statement: [Hard II Love, producer, PartyNextDoor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PartyNextDoor
Context triple: [Hard II Love, producer, PartyNextDoor]
  • A. PartyNextDoor chosen
    PartyNextDoor is a Canadian singer, songwriter, and producer known for his moody, atmospheric R&B and close association with Drake’s OVO Sound label.
  • B. EventCity
    EventCity is a large exhibition and conference venue located close to the Trafford Centre in Greater Manchester, hosting trade shows, consumer events, and corporate functions.
  • C. EventsML
    EventsML is an XML-based standard for describing, exchanging, and managing news and media event information across global news organizations.
  • D. Waymeet
    Waymeet is a small village in the Shire of J.R.R. Tolkien’s Middle-earth, known as a crossroads settlement along the Great East Road.
  • E. Meetup.com
    Meetup.com is an online platform that helps people organize and attend local in-person and virtual group events around shared interests and causes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980bd305c8190bcf191b2d35ec8de completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbdead348190aa7aaa29c371d72a completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:58 p.m.