Triple

T20997479
Position Surface form Disambiguated ID Type / Status
Subject Nightwatching E517186 entity
Predicate editedBy P1954 FINISHED
Object Elmer Leupen
Elmer Leupen is a film editor known for his work on the Peter Greenaway drama "Nightwatching."
E1462100 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: Elmer Leupen | Statement: [Nightwatching, editedBy, Elmer Leupen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elmer Leupen
Context triple: [Nightwatching, editedBy, Elmer Leupen]
  • A. Elmer Gedeon
    Elmer Gedeon was an American Major League Baseball player and World War II bomber pilot who became one of the first professional athletes killed in action during the war.
  • B. Leo Klier
    Leo Klier was an American professional basketball player and two-time All-American at Notre Dame who played in the early years of the Basketball Association of America (BAA).
  • C. Roy Leenig
    Roy Leenig was a prominent American college basketball coach best known for his successful tenure leading the Holy Cross Crusaders men's basketball program.
  • D. Paul Ivens
    Paul Ivens is an athlete best known for being coached by renowned trainer Michael Page.
  • E. Gustav Kleikamp
    Gustav Kleikamp was a German naval officer and rear admiral in the Kriegsmarine during World War II, known for commanding forces in the opening attack on Poland.
  • 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: Elmer Leupen
Triple: [Nightwatching, editedBy, Elmer Leupen]
Generated description
Elmer Leupen is a film editor known for his work on the Peter Greenaway drama "Nightwatching."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Elmer Leupen
Target entity description: Elmer Leupen is a film editor known for his work on the Peter Greenaway drama "Nightwatching."
  • A. Elmer Gedeon
    Elmer Gedeon was an American Major League Baseball player and World War II bomber pilot who became one of the first professional athletes killed in action during the war.
  • B. Leo Klier
    Leo Klier was an American professional basketball player and two-time All-American at Notre Dame who played in the early years of the Basketball Association of America (BAA).
  • C. Roy Leenig
    Roy Leenig was a prominent American college basketball coach best known for his successful tenure leading the Holy Cross Crusaders men's basketball program.
  • D. Paul Ivens
    Paul Ivens is an athlete best known for being coached by renowned trainer Michael Page.
  • E. Gustav Kleikamp
    Gustav Kleikamp was a German naval officer and rear admiral in the Kriegsmarine during World War II, known for commanding forces in the opening attack on Poland.
  • 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_69e0b5006e2881909fc2383f841740cc completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc22ca6081908bf054ddcfea9e19 completed April 21, 2026, 4:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a093b4fd8748190b90a50feac5c7517 completed May 17, 2026, 3:51 a.m.
NEDg Description generation batch_6a093f361a288190bc373e95f7e9dd63 completed May 17, 2026, 4:08 a.m.
NED2 Entity disambiguation (via description) batch_6a093fa8a998819080a96e67d34a5f52 completed May 17, 2026, 4:10 a.m.
Created at: April 16, 2026, 1:51 p.m.