Triple

T5518810
Position Surface form Disambiguated ID Type / Status
Subject Brian Grazer E144752 entity
Predicate child P120 FINISHED
Object Patrick Grazer E144752 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: Patrick Grazer | Statement: [Brian Grazer, child, Patrick Grazer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patrick Grazer
Context triple: [Brian Grazer, child, Patrick Grazer]
  • A. Patrick Grazer chosen
    Patrick Grazer is the son of acclaimed American film and television producer Brian Grazer.
  • B. Patrick Fischler
    Patrick Fischler is an American character actor known for his memorable supporting roles in film and television, including appearances in projects like Mulholland Drive, Mad Men, and Lost.
  • C. Bill Steinkellner
    Bill Steinkellner is an American television writer and producer best known for his work on popular sitcoms, often in collaboration with his wife Cheri Steinkellner.
  • D. Paul Haslinger
    Paul Haslinger is an Austrian composer and musician known for his work on film, television, and video game scores, as well as for being a former member of the electronic music group Tangerine Dream.
  • E. Joseph Sonnleithner
    Joseph Sonnleithner was an Austrian librettist, lawyer, and cultural figure best known for writing the original libretto for Beethoven’s opera "Fidelio."
  • 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_69c008f77ff88190b0cd50ca207295d1 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f6eb604819092e9b2207dc741a9 completed March 22, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027e57ed88190b2ff3245226851d1 completed March 22, 2026, 5:33 p.m.
Created at: March 22, 2026, 3:33 p.m.