Triple

T17458301
Position Surface form Disambiguated ID Type / Status
Subject Who Do You Love? E425087 entity
Predicate recordLabel P1500 FINISHED
Object Pu$haz Ink 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: Pu$haz Ink | Statement: [Who Do You Love?, recordLabel, Pu$haz Ink]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pu$haz Ink
Context triple: [Who Do You Love?, recordLabel, Pu$haz Ink]
  • A. Pu$haz Ink chosen
    Pu$haz Ink is an independent hip hop record label and collective associated with West Coast rapper and producer Ty Dolla Sign.
  • B. The Ink Factory
    The Ink Factory is a British production company best known for adapting John le Carré’s works for film and television.
  • C. The Inkwell
    The Inkwell is a 1994 coming-of-age comedy-drama film set during a family summer vacation on Martha’s Vineyard, known for its exploration of Black middle-class life in the 1970s.
  • D. 37 Ink
    37 Ink is a Simon & Schuster imprint focused on publishing diverse, culturally resonant voices, particularly from Black and other underrepresented communities.
  • E. Inkster
    Inkster is a small rural municipality located in Grand Forks County in the U.S. state of North Dakota.
  • 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4514385e48190b97a257bb3d07d2d completed April 19, 2026, 3:51 a.m.
Created at: April 10, 2026, 5:47 a.m.