Triple

T5291920
Position Surface form Disambiguated ID Type / Status
Subject Jerome Kohlberg Jr. E119761 entity
Predicate name P16 FINISHED
Object Jerome Kohlberg Jr. E119761 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: Jerome Kohlberg Jr. | Statement: [Jerome Kohlberg Jr., name, Jerome Kohlberg Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jerome Kohlberg Jr.
Context triple: [Jerome Kohlberg Jr., name, Jerome Kohlberg Jr.]
  • A. Jerome Kohlberg Jr. chosen
    Jerome Kohlberg Jr. was an American businessman and pioneering private equity investor who co-founded the leveraged buyout firm Kohlberg Kravis Roberts & Co. (KKR).
  • B. Stanley S. Canter
    Stanley S. Canter is a film producer known for his work on adventure and genre movies, including the Tarzan franchise.
  • C. Fredric M. Frank
    Fredric M. Frank was an American screenwriter best known for his work on major mid-20th-century Hollywood films, including several collaborations with director Cecil B. DeMille.
  • D. Melvin Fitting
    Melvin Fitting is a logician and computer scientist known for his influential work in automated theorem proving, modal logic, and the foundations of logic in computer science.
  • E. Karl Llewellyn
    Karl Llewellyn was a prominent 20th-century American legal scholar and leading figure of the legal realism movement, known especially for his role in drafting the Uniform Commercial Code.
  • 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_69bd446de5648190b313a90bd96730d2 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84eccac481908ba3fe28c3908d1d completed March 20, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06f3c7508190be98e08cef130a4d completed March 21, 2026, 9 p.m.
Created at: March 20, 2026, 1:52 p.m.