Triple

T21395796
Position Surface form Disambiguated ID Type / Status
Subject Sidney Salkow E527776 entity
Predicate familyName P18 FINISHED
Object Salkow
Salkow is a surname most notably associated with Sidney Salkow, an American film and television director and screenwriter.
 E1482307 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: Salkow | Statement: [Sidney Salkow, familyName, Salkow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Salkow
Context triple: [Sidney Salkow, familyName, Salkow]
  • A. Kummerow
    Kummerow is a small municipality in northeastern Germany, known for its scenic setting on the shores of Lake Kummerow in Mecklenburg-Vorpommern.
  • B. Kallenbach
    Kallenbach is a German-language surname most notably borne by Hermann Kallenbach, a close associate of Mahatma Gandhi.
  • C. Straupitz
    Straupitz is a small village and municipality in the Spreewald region of Brandenburg, Germany, known for its traditional rural landscape and historic architecture.
  • D. Siedenburg
    Siedenburg is a small municipality in Lower Saxony, Germany, situated within the rural Diepholz district.
  • E. Kurnitz
    Kurnitz is a surname most notably associated with American playwright and screenwriter Harry Kurnitz.
  • 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: Salkow
Triple: [Sidney Salkow, familyName, Salkow]
Generated description
Salkow is a surname most notably associated with Sidney Salkow, an American film and television director and screenwriter.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Salkow
Target entity description: Salkow is a surname most notably associated with Sidney Salkow, an American film and television director and screenwriter.
  • A. Kummerow
    Kummerow is a small municipality in northeastern Germany, known for its scenic setting on the shores of Lake Kummerow in Mecklenburg-Vorpommern.
  • B. Kallenbach
    Kallenbach is a German-language surname most notably borne by Hermann Kallenbach, a close associate of Mahatma Gandhi.
  • C. Straupitz
    Straupitz is a small village and municipality in the Spreewald region of Brandenburg, Germany, known for its traditional rural landscape and historic architecture.
  • D. Siedenburg
    Siedenburg is a small municipality in Lower Saxony, Germany, situated within the rural Diepholz district.
  • E. Kurnitz
    Kurnitz is a surname most notably associated with American playwright and screenwriter Harry Kurnitz.
  • 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_69e0b51ff3748190935c0a513c62a12b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee62ce3c5c81909e1e584e2f6667c8 completed April 26, 2026, 7:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09bb4d8e34819084b8f3f172dd72e1 completed May 17, 2026, 12:57 p.m.
NEDg Description generation batch_6a09bea3994481908b7a782fd384603a completed May 17, 2026, 1:12 p.m.
NED2 Entity disambiguation (via description) batch_6a09bfa27d848190bb77d632359a11b3 completed May 17, 2026, 1:16 p.m.
Created at: April 16, 2026, 5:13 p.m.