Triple

T3803959
Position Surface form Disambiguated ID Type / Status
Subject Johnny Belinda E91757 entity
Predicate starring P1507 FINISHED
Object Stephen McNally
Stephen McNally was an American film and television actor known for his tough, often villainous roles in mid-20th-century Hollywood dramas and westerns.
 E391941 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: Stephen McNally | Statement: [Johnny Belinda, starring, Stephen McNally]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stephen McNally
Context triple: [Johnny Belinda, starring, Stephen McNally]
  • A. Rob McKenna
    Rob McKenna is a perpetually rain-plagued lorry driver in Douglas Adams' "So Long, and Thanks for All the Fish," humorously revealed to be a Rain God unknowingly worshipped by clouds.
  • B. Rob McKenna
    Rob McKenna is an American attorney and politician best known for serving as the Attorney General of Washington State.
  • C. Peter McNulty
    Peter McNulty is a film editor known for his work on feature films including the military drama "Megan Leavey."
  • D. Ed McCauley
    Ed McCauley is a Canadian academic and research leader who serves as president of the University of Calgary.
  • E. Jeff MacNelly
    Jeff MacNelly was an American editorial cartoonist and creator of the comic strip "Shoe," renowned for his sharp political satire and three Pulitzer Prizes for Editorial Cartooning.
  • 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: Stephen McNally
Triple: [Johnny Belinda, starring, Stephen McNally]
Generated description
Stephen McNally was an American film and television actor known for his tough, often villainous roles in mid-20th-century Hollywood dramas and westerns.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stephen McNally
Target entity description: Stephen McNally was an American film and television actor known for his tough, often villainous roles in mid-20th-century Hollywood dramas and westerns.
  • A. Rob McKenna
    Rob McKenna is an American attorney and politician best known for serving as the Attorney General of Washington State.
  • B. Rob McKenna
    Rob McKenna is a perpetually rain-plagued lorry driver in Douglas Adams' "So Long, and Thanks for All the Fish," humorously revealed to be a Rain God unknowingly worshipped by clouds.
  • C. Peter McNulty
    Peter McNulty is a film editor known for his work on feature films including the military drama "Megan Leavey."
  • D. Ed McCauley
    Ed McCauley is a Canadian academic and research leader who serves as president of the University of Calgary.
  • E. Jeff MacNelly
    Jeff MacNelly was an American editorial cartoonist and creator of the comic strip "Shoe," renowned for his sharp political satire and three Pulitzer Prizes for Editorial Cartooning.
  • 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_69aed96354f48190a768966d6bd19b04 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee7bc240881909e91b7b99403a13c completed March 9, 2026, 3:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503f107148190bf7ce74eb7dee9b2 completed March 14, 2026, 6:45 a.m.
NEDg Description generation batch_69b50454107081908adb0afbfbad44c9 completed March 14, 2026, 6:46 a.m.
NED2 Entity disambiguation (via description) batch_69b504b39c7c8190bf267fa0af33ee37 completed March 14, 2026, 6:48 a.m.
Created at: March 9, 2026, 3:15 p.m.