Triple

T9906856
Position Surface form Disambiguated ID Type / Status
Subject Jumanji: Welcome to the Jungle E185031 entity
Predicate screenwriter P2831 FINISHED
Object Scott Rosenberg E300554 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: Scott Rosenberg | Statement: [Jumanji: Welcome to the Jungle, screenwriter, Scott Rosenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scott Rosenberg
Context triple: [Jumanji: Welcome to the Jungle, screenwriter, Scott Rosenberg]
  • A. Scott Rosenberg chosen
    Scott Rosenberg is an American screenwriter and producer known for writing high-profile films such as "Con Air," "Gone in 60 Seconds," and "High Fidelity."
  • B. Mark Rosenberg
    Mark Rosenberg was an American film producer known for his work on notable movies of the 1980s and early 1990s.
  • C. Dave Rosenberg
    Dave Rosenberg is a technology entrepreneur best known as a co-founder of MuleSoft, a leading integration and API management platform company.
  • D. Jonathan Resnick
    Jonathan Resnick is an individual notable enough to be recognized as a bearer of the Resnick surname, though specific widely known public details about him are not clearly established.
  • E. Josh Kesselman
    Josh Kesselman is a film and television producer best known for his work as an executive producer on projects such as the series "The Great."
  • 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_69ca8296165881908ca4750701af1f29 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb50ec61481908f42bd2aa55d9a6e completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e531dfa48190b57fcd2444de1ab7 completed April 5, 2026, 10:41 p.m.
Created at: March 30, 2026, 8:41 p.m.