Triple

T880216
Position Surface form Disambiguated ID Type / Status
Subject Brian Grazer E19008 entity
Predicate familyName P18 FINISHED
Object Grazer
Grazer is a surname most notably associated with American film and television producer Brian Grazer.
E112147 NE FINISHED

How this triple was built (4 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: Grazer | Statement: [Brian Grazer, familyName, Grazer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grazer
Context triple: [Brian Grazer, familyName, Grazer]
  • A. Kritzinger
    Kritzinger is a German surname most notably associated with Friedrich Wilhelm Kritzinger, a high-ranking Nazi official involved in the administrative planning of the Holocaust.
  • B. Sieber
    Sieber is a small river in the German state of Lower Saxony that flows through the Harz Mountains and into the Oder.
  • C. Fürth
    Fürth is a historic city in northern Bavaria, Germany, known for its well-preserved old town and proximity to Nuremberg within the Franconian metropolitan region.
  • D. Rednitz
    The Rednitz is a river in Bavaria, Germany, that flows through cities such as Fürth and joins with the Pegnitz to form the Regnitz.
  • E. Nischel
    Nischel is the local colloquial nickname for the large Karl Marx Monument in Chemnitz, Germany.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Grazer
Triple: [Brian Grazer, familyName, Grazer]
Generated description
Grazer is a surname most notably associated with American film and television producer Brian Grazer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Grazer
Target entity description: Grazer is a surname most notably associated with American film and television producer Brian Grazer.
  • A. Kritzinger
    Kritzinger is a German surname most notably associated with Friedrich Wilhelm Kritzinger, a high-ranking Nazi official involved in the administrative planning of the Holocaust.
  • B. Sieber
    Sieber is a small river in the German state of Lower Saxony that flows through the Harz Mountains and into the Oder.
  • C. Fürth
    Fürth is a historic city in northern Bavaria, Germany, known for its well-preserved old town and proximity to Nuremberg within the Franconian metropolitan region.
  • D. Rednitz
    The Rednitz is a river in Bavaria, Germany, that flows through cities such as Fürth and joins with the Pegnitz to form the Regnitz.
  • E. Nischel
    Nischel is the local colloquial nickname for the large Karl Marx Monument in Chemnitz, Germany.
  • F. None of above. chosen

Provenance (5 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_69a4939c32488190a7ccd41cf0abb22b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4acc9d5f4819087afbb75b6ac3dbf completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a9339ba2e48190872fd771386ba321 completed March 5, 2026, 7:41 a.m.
NEDg Description generation batch_69a963a5b8648190b21d9edaf3d053d2 completed March 5, 2026, 11:06 a.m.
NED2 Entity disambiguation (via description) batch_69a9641f3a5c81908894097ab2177c43 completed March 5, 2026, 11:08 a.m.
Created at: March 1, 2026, 7:39 p.m.