Triple

T13728199
Position Surface form Disambiguated ID Type / Status
Subject Meet the Fockers E329720 entity
Predicate screenwriter P2831 FINISHED
Object Jim Herzfeld E1083334 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: Jim Herzfeld | Statement: [Meet the Fockers, screenwriter, Jim Herzfeld]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jim Herzfeld
Context triple: [Meet the Fockers, screenwriter, Jim Herzfeld]
  • A. Jim Herzfeld chosen
    Jim Herzfeld is an American screenwriter best known for co-writing the hit comedy film "Meet the Parents" and its sequel "Meet the Fockers."
  • B. Wilm Hosenfeld
    Wilm Hosenfeld was a German Wehrmacht officer known for secretly helping and ultimately saving Polish Jews, most famously the pianist Władysław Szpilman, during World War II.
  • C. Guy Schuessler
    Guy Schuessler is a British actor and theatre professional best known as the husband of acclaimed stage and screen actress Dame Harriet Walter.
  • D. Anthony Kilhoffer
    Anthony Kilhoffer is a Grammy-winning American record producer and audio engineer known for his extensive work with artists like Kanye West and other major hip-hop and pop acts.
  • E. Jan Weincke
    Jan Weincke is a cinematographer known for his work on films such as the thriller "Dead of Winter."
  • 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_69d80772315881908f980cae40d91664 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de01f746cc8190abde237bbb7e6c78 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd192957008190b525778430b56ca0 completed May 7, 2026, 10:58 p.m.
Created at: April 9, 2026, 9:55 p.m.