Triple

T13599991
Position Surface form Disambiguated ID Type / Status
Subject The Pinkprint E324917 entity
Predicate producer P490 FINISHED
Object Boi-1da E83312 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: Boi-1da | Statement: [The Pinkprint, producer, Boi-1da]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boi-1da
Context triple: [The Pinkprint, producer, Boi-1da]
  • A. Boi-1da chosen
    Boi-1da is a Canadian record producer known for crafting influential hip-hop hits for artists like Drake, Kanye West, and Eminem.
  • B. BOI
    BOI is the central bank of Israel, responsible for managing the country’s monetary policy, issuing currency, and maintaining financial stability.
  • C. BOI
    BOI is the three-letter IATA airport code for Boise Airport, the primary commercial airport serving Boise, Idaho.
  • D. Boie
    Boie is the surname of German zoologist Heinrich Boie, known for his 19th-century taxonomic work describing various animal species.
  • E. Boi Para
    Boi Para is Kolkata’s famed book district, a bustling stretch of College Street renowned for its countless bookshops, secondhand stalls, and vibrant literary culture.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0795acc8190a08667ab9dcb0d44 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f92224c8190b66adef1291cd47f completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:49 p.m.