Triple

T13446520
Position Surface form Disambiguated ID Type / Status
Subject Law & Order: LA E320498 entity
Predicate executiveProducer P7225 FINISHED
Object Peter Jankowski E653930 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 Jankowski | Statement: [Law & Order: LA, executiveProducer, Peter Jankowski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Jankowski
Context triple: [Law & Order: LA, executiveProducer, Peter Jankowski]
  • A. Peter Jankowski chosen
    Peter Jankowski is a television producer best known for his longtime work on Dick Wolf’s crime drama franchises, including the Chicago and Law & Order series.
  • B. Greg Joswiak
    Greg Joswiak is a senior Apple executive who serves as the company’s Senior Vice President of Worldwide Marketing.
  • C. Jeff Jagodzinski
    Jeff Jagodzinski is an American football coach best known for his tenure as head coach at Boston College and his extensive experience as an offensive coach in both college football and the NFL.
  • D. Andrew Goczkowski
    Andrew Goczkowski is an American local government leader serving as the mayor of Des Plaines, Illinois.
  • E. Kevin Sierzega
    Kevin Sierzega is a musician best known as a member of the punk rock band Squirtgun.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaef5f610819092cad33ef72075ff completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f73998221c8190a2d8982a3da28ec9 completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:40 p.m.