Triple

T14235139
Position Surface form Disambiguated ID Type / Status
Subject Son in Law E352857 entity
Predicate producer P490 FINISHED
Object Peter M. Lenkov E296916 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: Peter M. Lenkov | Statement: [Son in Law, producer, Peter M. Lenkov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter M. Lenkov
Context triple: [Son in Law, producer, Peter M. Lenkov]
  • A. Peter M. Lenkov chosen
    Peter M. Lenkov is a television and film writer and producer best known for developing and showrunning modern reboots of series like Hawaii Five-0, MacGyver, and Magnum P.I.
  • B. Mike Sokolsky
    Mike Sokolsky is a co-founder of the online education platform Udacity, known for its technology-focused courses and nanodegree programs.
  • C. Alec Miloslavsky
    Alec Miloslavsky is a technology entrepreneur best known as a co-founder of the customer experience and contact center software company Genesys.
  • D. Peter Elkind
    Peter Elkind is an American investigative journalist and author best known for co-writing the exposé on the Enron scandal that became the basis for the documentary "Enron: The Smartest Guys in the Room."
  • E. Scott D. Rychnovsky
    Scott D. Rychnovsky is an American organic chemist known for his contributions to synthetic methodology and complex molecule synthesis.
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de62411c888190a154acd56fe3fcaf completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3251ec5881909fcebc9477d6a761 completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:07 a.m.