Triple

T6437432
Position Surface form Disambiguated ID Type / Status
Subject 3 Arts Entertainment E129933 entity
Predicate foundedBy P104 FINISHED
Object Michael Rotenberg E187157 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: Michael Rotenberg | Statement: [3 Arts Entertainment, foundedBy, Michael Rotenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Rotenberg
Context triple: [3 Arts Entertainment, foundedBy, Michael Rotenberg]
  • A. Michael Rotenberg chosen
    Michael Rotenberg is a television producer and manager best known for his work on popular comedy series including It's Always Sunny in Philadelphia.
  • B. Michael Rachmil
    Michael Rachmil is a film producer best known for his work on the 1987 romantic comedy "Roxanne" starring Steve Martin.
  • C. Michael Kagan
    Michael Kagan is an Israeli technologist and entrepreneur best known as the co-founder and longtime chief technology officer of high-performance networking company Mellanox Technologies.
  • D. Jon Rubinstein
    Jon Rubinstein is an American computer engineer and executive best known for his key role in developing Apple's iPod and later leading Palm as CEO.
  • E. Andrew Rubenstein
    Andrew Rubenstein is one of the children of billionaire financier and philanthropist David M. Rubenstein.
  • 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_69c0084caac48190a7bc2ad8ba44536f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c06964186c8190aeeb0038f4696032 completed March 22, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83414c374819085ca1e441728c6af completed March 28, 2026, 8:03 p.m.
Created at: March 22, 2026, 4:45 p.m.