Triple

T22391941
Position Surface form Disambiguated ID Type / Status
Subject Janick Gers E553531 entity
Predicate birthName P65 FINISHED
Object Janick Robert Gers 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: Janick Robert Gers | Statement: [Janick Gers, birthName, Janick Robert Gers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Janick Robert Gers
Context triple: [Janick Gers, birthName, Janick Robert Gers]
  • A. Janick Gers chosen
    Janick Gers is an English guitarist best known as one of the longtime lead guitarists of the heavy metal band Iron Maiden.
  • B. Michael Zager
    Michael Zager is an American record producer, composer, and arranger best known for his work in disco and pop music, including the hit "Let's All Chant."
  • C. Luc Jobin
    Luc Jobin is a Canadian business executive best known for serving as president and CEO of Canadian National Railway and holding senior leadership roles in major international corporations.
  • D. Peter Gatien
    Peter Gatien is a Canadian-born nightclub impresario best known for owning and operating several iconic New York City clubs in the 1980s and 1990s, including Limelight and Tunnel.
  • E. Lou Jacobi
    Lou Jacobi was a Canadian-born character actor known for his comedic roles in film, television, and theater, particularly in mid-20th-century Hollywood and Broadway productions.
  • 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_69e11e4cf87c8190a1ff474daec326b7 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1585c16188190872e75caeb86c328 completed April 29, 2026, 1:01 a.m.
Created at: April 16, 2026, 8:45 p.m.