Triple

T14102609
Position Surface form Disambiguated ID Type / Status
Subject Are We There Yet? (film) E339420 entity
Predicate writer P1360 FINISHED
Object David N. Weiss E690509 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: David N. Weiss | Statement: [Are We There Yet? (film), writer, David N. Weiss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David N. Weiss
Context triple: [Are We There Yet? (film), writer, David N. Weiss]
  • A. David N. Weiss chosen
    David N. Weiss is an American screenwriter best known for co-writing popular family and animated films such as "Shrek 2" and "The Smurfs."
  • B. David C. Weiss
    David C. Weiss is an American attorney who serves as a U.S. Special Counsel and has been a key federal prosecutor in high-profile political and financial investigations.
  • C. Robert K. Weiss
    Robert K. Weiss is an American film and television producer best known for his work on comedy projects such as "The Naked Gun" series and collaborations with the Zucker brothers.
  • D. Daniel H. Weiss
    Daniel H. Weiss is an American art historian and academic leader who served as president and CEO of New York’s Metropolitan Museum of Art.
  • E. William Weiss
    William Weiss is a personal name shared by multiple individuals, including various professionals and public figures across different fields.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fbbf0b08190ba1ea3657d6db005 completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3243360c819084a524af2e452863 completed May 8, 2026, 12:45 a.m.
Created at: April 9, 2026, 10:22 p.m.