Triple

T3239650
Position Surface form Disambiguated ID Type / Status
Subject Dr. Dolittle (1998 film) E67936 entity
Predicate screenwriter P2831 FINISHED
Object Nat Mauldin E156758 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: Nat Mauldin | Statement: [Dr. Dolittle (1998 film), screenwriter, Nat Mauldin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nat Mauldin
Context triple: [Dr. Dolittle (1998 film), screenwriter, Nat Mauldin]
  • A. Nat Mauldin chosen
    Nat Mauldin is an American screenwriter and television writer known for his work on family-oriented films and popular TV comedies.
  • B. John Eisendrath
    John Eisendrath is a television writer and producer best known for his work on series such as "The Blacklist" and "Alias."
  • C. Scott Ehrlich
    Scott Ehrlich is a notable individual recognized for his contributions in his professional field, though specific widely known details about his work are not clearly established from the given information.
  • D. Chris Malachowsky
    Chris Malachowsky is an American engineer and entrepreneur best known as a co-founder of NVIDIA, a leading technology company in graphics processing and AI computing.
  • E. Scott Rothman
    Scott Rothman is an American screenwriter best known for co-writing the sports drama film "Draft Day."
  • 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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaef4c0bc819095e4f84296fe7cb6 completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b6279969388190a808a3c5995df2c5 completed March 15, 2026, 3:29 a.m.
Created at: March 8, 2026, 3:08 p.m.