Triple

T4977839
Position Surface form Disambiguated ID Type / Status
Subject Thelma Schoonmaker E111811 entity
Predicate familyName P18 FINISHED
Object Schoonmaker
Schoonmaker is a Dutch-origin surname most notably borne by acclaimed film editor Thelma Schoonmaker.
 E485617 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: Schoonmaker | Statement: [Thelma Schoonmaker, familyName, Schoonmaker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Schoonmaker
Context triple: [Thelma Schoonmaker, familyName, Schoonmaker]
  • A. Hollander
    Hollander is a surname most prominently associated with English actor Tom Hollander, known for his versatile roles in film, television, and theatre.
  • B. Bonte
    Bonte is a German surname most notably borne by Friedrich Bonte, a Kriegsmarine officer during World War II.
  • C. Hooperman
    Hooperman is an American television dramedy series from the late 1980s starring John Ritter as a San Francisco police inspector balancing his personal and professional life.
  • D. Hanzelijn
    Hanzelijn is a Dutch railway line connecting Lelystad and Zwolle, designed to shorten travel times between the Randstad and the northern Netherlands and partially built for higher-speed services.
  • E. Neeleman
    Neeleman is a surname most notably associated with David Neeleman, the Brazilian-American entrepreneur and founder of multiple airlines including JetBlue Airways.
  • 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: Schoonmaker
Triple: [Thelma Schoonmaker, familyName, Schoonmaker]
Generated description
Schoonmaker is a Dutch-origin surname most notably borne by acclaimed film editor Thelma Schoonmaker.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Schoonmaker
Target entity description: Schoonmaker is a Dutch-origin surname most notably borne by acclaimed film editor Thelma Schoonmaker.
  • A. Hollander
    Hollander is a surname most prominently associated with English actor Tom Hollander, known for his versatile roles in film, television, and theatre.
  • B. Bonte
    Bonte is a German surname most notably borne by Friedrich Bonte, a Kriegsmarine officer during World War II.
  • C. Hooperman
    Hooperman is an American television dramedy series from the late 1980s starring John Ritter as a San Francisco police inspector balancing his personal and professional life.
  • D. Hanzelijn
    Hanzelijn is a Dutch railway line connecting Lelystad and Zwolle, designed to shorten travel times between the Randstad and the northern Netherlands and partially built for higher-speed services.
  • E. Neeleman
    Neeleman is a surname most notably associated with David Neeleman, the Brazilian-American entrepreneur and founder of multiple airlines including JetBlue Airways.
  • 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_69bd441adc208190b70a033a0741d01e completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7232bd8c8190b325c9198e8b2fa1 completed March 20, 2026, 4:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be8a0634b48190acb4a1834f5647cf completed March 21, 2026, 12:07 p.m.
NEDg Description generation batch_69be8a9c72848190978797a33d0d83c8 completed March 21, 2026, 12:10 p.m.
NED2 Entity disambiguation (via description) batch_69be8b3718288190b2fc319fdad0a7c0 completed March 21, 2026, 12:12 p.m.
Created at: March 20, 2026, 1:33 p.m.