Triple

T10366286
Position Surface form Disambiguated ID Type / Status
Subject The Ritual E244258 entity
Predicate editedBy P1954 FINISHED
Object Mark Towns
Mark Towns is an editor known for his work on the film "The Ritual."
 E857430 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: Mark Towns | Statement: [The Ritual, editedBy, Mark Towns]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mark Towns
Context triple: [The Ritual, editedBy, Mark Towns]
  • A. David Drumlin
    David Drumlin is a high-ranking government science advisor and political figure in the science fiction film "Contact," often serving as a skeptical foil to the protagonist Ellie Arroway.
  • B. Clayton Townsend
    Clayton Townsend is a film producer known for his work on major Hollywood comedies and dramas, including the hit movie "Bridesmaids."
  • C. Mark Suter
    Mark Suter is a percussionist known for his work in contemporary and world music, including performances with the Silk Road Ensemble.
  • D. Michael Potts
    Michael Potts is an American actor known for his work in film, television, and theater, including notable roles in projects like "The Wire," "True Detective," and various Broadway productions.
  • E. Tim McClelland
    Tim McClelland is a former Major League Baseball umpire known for his long tenure, distinctive strike zone, and involvement in several high-profile postseason games.
  • 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: Mark Towns
Triple: [The Ritual, editedBy, Mark Towns]
Generated description
Mark Towns is an editor known for his work on the film "The Ritual."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mark Towns
Target entity description: Mark Towns is an editor known for his work on the film "The Ritual."
  • A. David Drumlin
    David Drumlin is a high-ranking government science advisor and political figure in the science fiction film "Contact," often serving as a skeptical foil to the protagonist Ellie Arroway.
  • B. Clayton Townsend
    Clayton Townsend is a film producer known for his work on major Hollywood comedies and dramas, including the hit movie "Bridesmaids."
  • C. Mark Suter
    Mark Suter is a percussionist known for his work in contemporary and world music, including performances with the Silk Road Ensemble.
  • D. Michael Potts
    Michael Potts is an American actor known for his work in film, television, and theater, including notable roles in projects like "The Wire," "True Detective," and various Broadway productions.
  • E. Tim McClelland
    Tim McClelland is a former Major League Baseball umpire known for his long tenure, distinctive strike zone, and involvement in several high-profile postseason games.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e96f25f48190a41c8b0206b9238c completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750c8c7588190a31bac5b774155fe completed April 9, 2026, 7:10 a.m.
NEDg Description generation batch_69d751ab890c8190b1549619049dab91 completed April 9, 2026, 7:13 a.m.
NED2 Entity disambiguation (via description) batch_69d7619e97588190a1443f9438c6efc0 completed April 9, 2026, 8:21 a.m.
Created at: April 6, 2026, noon