Triple

T21229903
Position Surface form Disambiguated ID Type / Status
Subject The Man Inside E523179 entity
Predicate screenwriter P2831 FINISHED
Object Eric P. Donnelly
Eric P. Donnelly is a screenwriter best known for his work on the film "The Man Inside."
 E1528053 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: Eric P. Donnelly | Statement: [The Man Inside, screenwriter, Eric P. Donnelly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eric P. Donnelly
Context triple: [The Man Inside, screenwriter, Eric P. Donnelly]
  • A. David J. O’Connell
    David J. O’Connell is a television producer and writer best known for creating the classic medical drama series "Marcus Welby, M.D."
  • B. Michael P. Cahill
    Michael P. Cahill is an American local politician who has served as the mayor of Beverly, Massachusetts.
  • C. Michael H. Moloney
    Michael H. Moloney is a physics-focused science policy and leadership professional who serves as the chief executive officer of the American Institute of Physics.
  • D. Michael G. Cooney
    Michael G. Cooney is a screenwriter known for his work on genre films, including contributing the script for the martial arts movie "Man of Tai Chi."
  • E. Michael J. Durkan
    Michael J. Durkan is an individual notable enough to be recognized as a bearer of the Durkan surname, though specific widely known public details about him are limited.
  • 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: Eric P. Donnelly
Triple: [The Man Inside, screenwriter, Eric P. Donnelly]
Generated description
Eric P. Donnelly is a screenwriter best known for his work on the film "The Man Inside."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eric P. Donnelly
Target entity description: Eric P. Donnelly is a screenwriter best known for his work on the film "The Man Inside."
  • A. David J. O’Connell
    David J. O’Connell is a television producer and writer best known for creating the classic medical drama series "Marcus Welby, M.D."
  • B. Michael P. Cahill
    Michael P. Cahill is an American local politician who has served as the mayor of Beverly, Massachusetts.
  • C. Michael H. Moloney
    Michael H. Moloney is a physics-focused science policy and leadership professional who serves as the chief executive officer of the American Institute of Physics.
  • D. Michael G. Cooney
    Michael G. Cooney is a screenwriter known for his work on genre films, including contributing the script for the martial arts movie "Man of Tai Chi."
  • E. Michael J. Durkan
    Michael J. Durkan is an individual notable enough to be recognized as a bearer of the Durkan surname, though specific widely known public details about him are limited.
  • 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_69e0b512ad94819087942b2ed925185f completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e734ae60408190a9480b27d109b8fc completed April 21, 2026, 8:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0abc87cab08190b9a5457ba9868784 completed May 18, 2026, 7:15 a.m.
NEDg Description generation batch_6a0abd6207688190ab6ba1a04fa663a7 completed May 18, 2026, 7:18 a.m.
NED2 Entity disambiguation (via description) batch_6a0abe80fe7c8190a648efabc360b06d completed May 18, 2026, 7:23 a.m.
Created at: April 16, 2026, 3:45 p.m.