Triple

T16641332
Position Surface form Disambiguated ID Type / Status
Subject No Shame E404343 entity
Predicate producer P490 FINISHED
Object P2J E851698 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: P2J | Statement: [No Shame, producer, P2J]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: P2J
Context triple: [No Shame, producer, P2J]
  • A. P2J chosen
    P2J is a Nigerian-British record producer and songwriter known for his work on major Afrobeats and global pop projects, including collaborations with artists like Beyoncé, Wizkid, and Burna Boy.
  • B. PJ
    PJ is the common abbreviation for Petaling Jaya, a major city in the state of Selangor, Malaysia, known for its residential suburbs and commercial centers.
  • C. PJ
    PJ is the commonly used abbreviation for Portugal’s Judiciary Police, the national criminal investigation police force.
  • D. PJ
    PJ is the station code for Port Jervis station, a commuter rail terminus serving the city of Port Jervis, New York.
  • E. PJ
    PJ is a musical artist known for contributing guest performances to other musicians’ tracks.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad1a7748190aa9308d4e96c566c completed April 18, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084bb4cec819091d9b7b2a09248ee completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:18 a.m.