Triple

T5952864
Position Surface form Disambiguated ID Type / Status
Subject Paylocity E132439 entity
Predicate founder P104 FINISHED
Object Steve Sarowitz E557958 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: Steve Sarowitz | Statement: [Paylocity, founder, Steve Sarowitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steve Sarowitz
Context triple: [Paylocity, founder, Steve Sarowitz]
  • A. Steve Sarowitz chosen
    Steve Sarowitz is an American entrepreneur and philanthropist best known as the founder of the payroll and human capital management software company Paylocity.
  • B. Steven Haft
    Steven Haft is an American film producer known for his work on movies such as the cult Halloween comedy "Hocus Pocus."
  • C. Sam Levenson
    Sam Levenson was an American humorist, writer, and television host known for his warm, family-centered Jewish humor and popular books such as "Everything But Money."
  • D. Bennett Rosenthal
    Bennett Rosenthal is an American businessman and private equity executive best known as a co-owner of the Major League Soccer club Los Angeles FC.
  • E. Josh Srebnick
    Josh Srebnick is a central character in the film "While We're Young," portrayed as a middle-aged documentary filmmaker grappling with ambition, authenticity, and aging in contrast to a younger creative couple.
  • 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_69c0086b05cc8190a8f36a96927a525c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03983b8848190afaa37f35c95bad6 completed March 22, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1082d00308190a8e92bb633e7f292 completed March 23, 2026, 9:30 a.m.
Created at: March 22, 2026, 4:02 p.m.