Triple

T13694404
Position Surface form Disambiguated ID Type / Status
Subject No Good Deed E328346 entity
Predicate starring P1507 FINISHED
Object Frank Brennan
Frank Brennan is an actor known for his role in the film "No Good Deed."
 E1063057 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: Frank Brennan | Statement: [No Good Deed, starring, Frank Brennan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Frank Brennan
Context triple: [No Good Deed, starring, Frank Brennan]
  • A. James A. Byrne
    James A. Byrne was a U.S. Congressman from Pennsylvania who served in the mid-20th century and was influential enough in public service to have a federal courthouse named in his honor.
  • B. James T. O'Donohoe
    James T. O'Donohoe was an American screenwriter active during the silent and early sound film era.
  • C. Thomas J. Sheehan
    Thomas J. Sheehan was a U.S. Army officer best known for leading the defense of Fort Ridgely during the U.S.–Dakota War of 1862.
  • D. John E. Keane
    John E. Keane is a composer best known for his work on film and television scores, including the adaptation of "Wives and Daughters."
  • E. John M. Keane
    John M. Keane is a television and film composer best known for scoring crime drama series such as CSI: Vegas.
  • 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: Frank Brennan
Triple: [No Good Deed, starring, Frank Brennan]
Generated description
Frank Brennan is an actor known for his role in the film "No Good Deed."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Frank Brennan
Target entity description: Frank Brennan is an actor known for his role in the film "No Good Deed."
  • A. James A. Byrne
    James A. Byrne was a U.S. Congressman from Pennsylvania who served in the mid-20th century and was influential enough in public service to have a federal courthouse named in his honor.
  • B. James T. O'Donohoe
    James T. O'Donohoe was an American screenwriter active during the silent and early sound film era.
  • C. Thomas J. Sheehan
    Thomas J. Sheehan was a U.S. Army officer best known for leading the defense of Fort Ridgely during the U.S.–Dakota War of 1862.
  • D. John E. Keane
    John E. Keane is a composer best known for his work on film and television scores, including the adaptation of "Wives and Daughters."
  • E. John M. Keane
    John M. Keane is a television and film composer best known for scoring crime drama series such as CSI: Vegas.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc8757b648190a26181efbad09a43 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8cae6f081908145b6cd4c0ba53c completed May 3, 2026, 9:06 p.m.
NEDg Description generation batch_69f7b974fce88190ace5030555b7b5f1 completed May 3, 2026, 9:09 p.m.
NED2 Entity disambiguation (via description) batch_69f7ba936c4481908757699ff22d3904 completed May 3, 2026, 9:13 p.m.
Created at: April 9, 2026, 9:54 p.m.