Triple

T3376767
Position Surface form Disambiguated ID Type / Status
Subject The Osterman Weekend E71083 entity
Predicate editedBy P1954 FINISHED
Object David Rawlins
David Rawlins is a film editor best known for his work on movies such as the thriller "The Osterman Weekend."
E353861 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: David Rawlins | Statement: [The Osterman Weekend, editedBy, David Rawlins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Rawlins
Context triple: [The Osterman Weekend, editedBy, David Rawlins]
  • A. Carl Cheffers
    Carl Cheffers is an American NFL official who has served as a referee in multiple high-profile games, including the Super Bowl.
  • B. Mike McDaniel
    Mike McDaniel is an innovative NFL head coach known for his offensive creativity and leadership of the Miami Dolphins.
  • C. Nick Mangold
    Nick Mangold is a former NFL center best known for anchoring the New York Jets’ offensive line for over a decade and earning multiple Pro Bowl and All-Pro honors.
  • D. Kenny Dillingham
    Kenny Dillingham is an American college football coach known for his offensive expertise and for serving as the head coach of the Arizona State Sun Devils.
  • E. Brant Coulter
    Brant Coulter is a musician best known for his past role as a member of the American alternative rock band Blue October.
  • 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: David Rawlins
Triple: [The Osterman Weekend, editedBy, David Rawlins]
Generated description
David Rawlins is a film editor best known for his work on movies such as the thriller "The Osterman Weekend."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: David Rawlins
Target entity description: David Rawlins is a film editor best known for his work on movies such as the thriller "The Osterman Weekend."
  • A. Carl Cheffers
    Carl Cheffers is an American NFL official who has served as a referee in multiple high-profile games, including the Super Bowl.
  • B. Mike McDaniel
    Mike McDaniel is an innovative NFL head coach known for his offensive creativity and leadership of the Miami Dolphins.
  • C. Nick Mangold
    Nick Mangold is a former NFL center best known for anchoring the New York Jets’ offensive line for over a decade and earning multiple Pro Bowl and All-Pro honors.
  • D. Kenny Dillingham
    Kenny Dillingham is an American college football coach known for his offensive expertise and for serving as the head coach of the Arizona State Sun Devils.
  • E. Brant Coulter
    Brant Coulter is a musician best known for his past role as a member of the American alternative rock band Blue October.
  • 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_69ad85a7f80c8190a05e43013f298942 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2e776508190bc123fb17b36f062 completed March 8, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b334490bf08190aa119e72d12f5e4b completed March 12, 2026, 9:46 p.m.
NEDg Description generation batch_69b334d1e3348190b231a33058ee08a5 completed March 12, 2026, 9:49 p.m.
NED2 Entity disambiguation (via description) batch_69b33901299481908615762989e45e7c completed March 12, 2026, 10:06 p.m.
Created at: March 8, 2026, 3:13 p.m.