Triple

T1921081
Position Surface form Disambiguated ID Type / Status
Subject Thunder Road E40125 entity
Predicate producer P490 FINISHED
Object Mike Appel E216526 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: Mike Appel | Statement: [Thunder Road, producer, Mike Appel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Appel
Context triple: [Thunder Road, producer, Mike Appel]
  • A. Mike Appel chosen
    Mike Appel is an American music producer, manager, and songwriter best known for his early work with Bruce Springsteen, including helping launch Springsteen’s career in the 1970s.
  • B. Alan Emtage
    Alan Emtage is a computer scientist best known for creating Archie, the first widely used Internet search engine, which laid foundational groundwork for modern web search.
  • C. Oren Patashnik
    Oren Patashnik is a computer scientist best known for coauthoring the influential textbook "Concrete Mathematics" and for creating the BibTeX reference management tool used with LaTeX.
  • D. Richard Hamlett
    Richard Hamlett is an American real estate developer best known for his marriage to actress and singer Debbie Reynolds.
  • E. Andrew G. Myers
    Andrew G. Myers is an American organic chemist renowned for his contributions to complex molecule synthesis and medicinal chemistry.
  • 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_69a8864298748190a2f2fd34f7ef8d77 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb231de14819091da3a20ed03c430 completed March 7, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbb0be848190a492ed8fa3b600ea completed March 8, 2026, 10:44 p.m.
Created at: March 4, 2026, 7:35 p.m.