Triple

T14898901
Position Surface form Disambiguated ID Type / Status
Subject Penrod and Sam (1937 film) E359948 entity
Predicate stars P1956 FINISHED
Object John Kelly
John Kelly was an American actor active in early 20th-century cinema, known for roles in films such as the 1937 adaptation of "Penrod and Sam."
 E1125258 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: John Kelly | Statement: [Penrod and Sam (1937 film), stars, John Kelly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Kelly
Context triple: [Penrod and Sam (1937 film), stars, John Kelly]
  • A. John Kelly
    John Kelly is a musician known for performing with the Celtic rock band O'Malley's March.
  • B. John Kelly
    John Kelly was the welfare recipient whose challenge to benefit termination procedures led to the landmark U.S. Supreme Court due process case Goldberg v. Kelly.
  • C. John Kelly
    John Kelly is a tough, streetwise New York City detective and one of the original main characters on the television drama "NYPD Blue."
  • D. John Kelly
    John Kelly is a fictional former Navy SEAL and covert operative in Tom Clancy’s Ryanverse novels, best known as the ruthless yet principled protagonist of "Without Remorse."
  • E. John Kelly
    John Kelly is a retired United States Marine Corps general who served as White House Chief of Staff under President Donald Trump.
  • 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: John Kelly
Triple: [Penrod and Sam (1937 film), stars, John Kelly]
Generated description
John Kelly was an American actor active in early 20th-century cinema, known for roles in films such as the 1937 adaptation of "Penrod and Sam."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Kelly
Target entity description: John Kelly was an American actor active in early 20th-century cinema, known for roles in films such as the 1937 adaptation of "Penrod and Sam."
  • A. John Kelly
    John Kelly is a musician known for performing with the Celtic rock band O'Malley's March.
  • B. John Kelly
    John Kelly is a music producer known for his work on the rock song "All Right Now."
  • C. John Kelly
    John Kelly is a tough, streetwise New York City detective and one of the original main characters on the television drama "NYPD Blue."
  • D. John Kelly
    John Kelly was the welfare recipient whose challenge to benefit termination procedures led to the landmark U.S. Supreme Court due process case Goldberg v. Kelly.
  • E. John Kelly
    John Kelly is a retired United States Marine Corps general who served as White House Chief of Staff under President Donald Trump.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded6084574819098033a9723f3e1c4 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b6966e88190a0ed475b22a77cf1 completed May 8, 2026, 11:02 p.m.
NEDg Description generation batch_69fe6d199298819081207e27dfdf485f completed May 8, 2026, 11:09 p.m.
NED2 Entity disambiguation (via description) batch_69fe6de49480819087b36c070c434bf7 completed May 8, 2026, 11:12 p.m.
Created at: April 10, 2026, 2:11 a.m.