Triple

T21413436
Position Surface form Disambiguated ID Type / Status
Subject Professional Soldier E528235 entity
Predicate starring P1507 FINISHED
Object Michael Whalen
Michael Whalen was an American film and television actor active in the 1930s and 1940s, known for his roles in adventure and crime dramas.
 E1559711 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: Michael Whalen | Statement: [Professional Soldier, starring, Michael Whalen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Michael Whalen
Context triple: [Professional Soldier, starring, Michael Whalen]
  • A. Michael Whelan
    Michael Whelan is an acclaimed American artist best known for his influential science fiction and fantasy book and album cover illustrations.
  • B. Douglas McGrath
    Douglas McGrath was an American screenwriter, director, and actor known for his literary adaptations and collaborations with Woody Allen.
  • C. Stephen McDermott
    Stephen McDermott is an Irish Gaelic footballer known for playing at inter-county level for Donegal.
  • D. Stephen O’Neil
    Stephen O’Neil is a musician best known as a member of the Australian indie pop band The Cannanes.
  • E. Michael O’Rourke
    Michael O’Rourke is an Irish media entrepreneur best known as a co-founder of the international sports television network Setanta Sports.
  • 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: Michael Whalen
Triple: [Professional Soldier, starring, Michael Whalen]
Generated description
Michael Whalen was an American film and television actor active in the 1930s and 1940s, known for his roles in adventure and crime dramas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Michael Whalen
Target entity description: Michael Whalen was an American film and television actor active in the 1930s and 1940s, known for his roles in adventure and crime dramas.
  • A. Michael Whelan
    Michael Whelan is an acclaimed American artist best known for his influential science fiction and fantasy book and album cover illustrations.
  • B. Douglas McGrath
    Douglas McGrath was an American screenwriter, director, and actor known for his literary adaptations and collaborations with Woody Allen.
  • C. Stephen McDermott
    Stephen McDermott is an Irish Gaelic footballer known for playing at inter-county level for Donegal.
  • D. Stephen O’Neil
    Stephen O’Neil is a musician best known as a member of the Australian indie pop band The Cannanes.
  • E. Michael O’Rourke
    Michael O’Rourke is an Irish media entrepreneur best known as a co-founder of the international sports television network Setanta Sports.
  • 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_69e0c454c248819093425d1099101c09 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b201ce1481908392c77e5ca40f5f completed April 22, 2026, 11:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bb9a644ac81908759165afee762d1 completed May 19, 2026, 1:15 a.m.
NEDg Description generation batch_6a0bbb59ff98819081ccb651f6a1d154 completed May 19, 2026, 1:22 a.m.
NED2 Entity disambiguation (via description) batch_6a0bbc1bd0808190a0a5f8f603308b45 completed May 19, 2026, 1:25 a.m.
Created at: April 16, 2026, 5:44 p.m.