Triple

T16670457
Position Surface form Disambiguated ID Type / Status
Subject L.A. Guns E405093 entity
Predicate hasMember P10 FINISHED
Object Jizzy Pearl E616696 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: Jizzy Pearl | Statement: [L.A. Guns, hasMember, Jizzy Pearl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jizzy Pearl
Context triple: [L.A. Guns, hasMember, Jizzy Pearl]
  • A. Jizzy Pearl chosen
    Jizzy Pearl is an American hard rock singer best known as the frontman of the band Love/Hate and for his later work with several prominent rock and metal groups.
  • B. Caskey
    Caskey is an American rapper known for his association with Birdman’s Rich Gang collective and his gritty, introspective Southern hip-hop style.
  • C. Syleena Johnson
    Syleena Johnson is an American R&B and soul singer-songwriter known for her powerful vocals and collaborations with artists like Kanye West.
  • D. Kizzy
    Kizzy is a memorable character from Alex Haley’s saga "Roots," portrayed as a strong, resilient woman who embodies the struggles and spirit of enslaved African Americans.
  • E. Fatima Blush
    Fatima Blush is a glamorous and sadistic SPECTRE assassin who serves as one of James Bond’s primary adversaries in the film "Never Say Never Again."
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ca079ec819090b356c86a9241cc completed April 18, 2026, 12:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a3692588190a94d349cb63d9749 completed May 10, 2026, 1:37 p.m.
Created at: April 10, 2026, 5:18 a.m.