Triple

T2967883
Position Surface form Disambiguated ID Type / Status
Subject My Octopus Teacher E80208 entity
Predicate editedBy P1954 FINISHED
Object Dan Schwalm
Dan Schwalm is a film editor best known for his work on the Academy Award–winning documentary "My Octopus Teacher."
E355692 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: Dan Schwalm | Statement: [My Octopus Teacher, editedBy, Dan Schwalm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan Schwalm
Context triple: [My Octopus Teacher, editedBy, Dan Schwalm]
  • A. Joe Sahlen
    Joe Sahlen is an American businessman best known as the owner of the Western New York Flash professional soccer club.
  • B. Fred Schuler
    Fred Schuler is a cinematographer best known for his work on films such as the 1980 comedy "Stir Crazy."
  • C. Ron Hagen
    Ron Hagen is a cinematographer best known for his work on the Australian film "Romper Stomper."
  • D. Dan Knechtges
    Dan Knechtges is an American director and choreographer known for his work on numerous Broadway and Off-Broadway musicals.
  • E. Dennis Lauscha
    Dennis Lauscha is an American sports executive who serves as a top leader within the New Orleans professional sports organization, overseeing business operations for the Saints and related ventures.
  • 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: Dan Schwalm
Triple: [My Octopus Teacher, editedBy, Dan Schwalm]
Generated description
Dan Schwalm is a film editor best known for his work on the Academy Award–winning documentary "My Octopus Teacher."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dan Schwalm
Target entity description: Dan Schwalm is a film editor best known for his work on the Academy Award–winning documentary "My Octopus Teacher."
  • A. Joe Sahlen
    Joe Sahlen is an American businessman best known as the owner of the Western New York Flash professional soccer club.
  • B. Fred Schuler
    Fred Schuler is a cinematographer best known for his work on films such as the 1980 comedy "Stir Crazy."
  • C. Ron Hagen
    Ron Hagen is a cinematographer best known for his work on the Australian film "Romper Stomper."
  • D. Dan Knechtges
    Dan Knechtges is an American director and choreographer known for his work on numerous Broadway and Off-Broadway musicals.
  • E. Dennis Lauscha
    Dennis Lauscha is an American sports executive who serves as a top leader within the New Orleans professional sports organization, overseeing business operations for the Saints and related ventures.
  • 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_69ad8b14ffe881908ffed62f9595c867 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad996fa4388190abd319c69ee583d9 completed March 8, 2026, 3:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bab35a0819081b6c568606b4c37 completed March 12, 2026, 11:26 p.m.
NEDg Description generation batch_69b34ff5a3608190bf8f33ae25b3d1ba completed March 12, 2026, 11:44 p.m.
NED2 Entity disambiguation (via description) batch_69b350b528e4819083497ecfaec5c80d completed March 12, 2026, 11:48 p.m.
Created at: March 8, 2026, 2:58 p.m.