Triple

T15311823
Position Surface form Disambiguated ID Type / Status
Subject How to Lose a Guy in 10 Days E366055 entity
Predicate castMember P1668 FINISHED
Object Robert Klein E280927 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: Robert Klein | Statement: [How to Lose a Guy in 10 Days, castMember, Robert Klein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Klein
Context triple: [How to Lose a Guy in 10 Days, castMember, Robert Klein]
  • A. Robert Klein chosen
    Robert Klein is an American stand-up comedian and actor known for his influential role in modern observational comedy and numerous appearances on television and Broadway.
  • B. Max Borenstein
    Max Borenstein is an American screenwriter and producer best known for his work on the modern Godzilla and MonsterVerse films.
  • C. Michael Shrieve
    Michael Shrieve is an American drummer and percussionist best known for his work with Santana, including his iconic performance at Woodstock and contributions to their classic early albums.
  • D. Jon Klein
    Jon Klein is a British guitarist best known for his work with the influential post-punk band Siouxsie and the Banshees.
  • E. Dave Krinsky
    Dave Krinsky is an American television and film writer and producer best known for co-creating the sitcom "King of the Hill" and co-writing several comedy films.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03cd2d5a88190aead748920f93d47 completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4542d4308190bebf13dff1ebfe08 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 3:16 a.m.