Triple

T13709400
Position Surface form Disambiguated ID Type / Status
Subject The Doctor and the Devils E328729 entity
Predicate editedBy P1954 FINISHED
Object Gordon Scott
Gordon Scott is an editor known for his work on the film "The Doctor and the Devils."
E1061635 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: Gordon Scott | Statement: [The Doctor and the Devils, editedBy, Gordon Scott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gordon Scott
Context triple: [The Doctor and the Devils, editedBy, Gordon Scott]
  • A. Gordon Scott
    Gordon Scott was an American actor best known for playing Tarzan in a series of popular 1950s and 1960s adventure films.
  • B. Lance Kerwin
    Lance Kerwin was an American actor best known for his prominent roles in 1970s television dramas and horror projects, particularly as a teen protagonist.
  • C. Fred Ward
    Fred Ward was an American character actor known for his rugged, everyman roles in films such as "Tremors," "The Right Stuff," and "Short Cuts."
  • D. Christopher Scott
    Christopher Scott is the father of English actress and singer Naomi Scott.
  • E. Chris Hargensen
    Chris Hargensen is a central antagonist in Stephen King’s novel "Carrie," known as a cruel high school bully whose actions help trigger the story’s catastrophic climax.
  • 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: Gordon Scott
Triple: [The Doctor and the Devils, editedBy, Gordon Scott]
Generated description
Gordon Scott is an editor known for his work on the film "The Doctor and the Devils."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gordon Scott
Target entity description: Gordon Scott is an editor known for his work on the film "The Doctor and the Devils."
  • A. Gordon Scott
    Gordon Scott was an American actor best known for playing Tarzan in a series of popular 1950s and 1960s adventure films.
  • B. Lance Kerwin
    Lance Kerwin was an American actor best known for his prominent roles in 1970s television dramas and horror projects, particularly as a teen protagonist.
  • C. Fred Ward
    Fred Ward was an American character actor known for his rugged, everyman roles in films such as "Tremors," "The Right Stuff," and "Short Cuts."
  • D. Christopher Scott
    Christopher Scott is the father of English actress and singer Naomi Scott.
  • E. Chris Hargensen
    Chris Hargensen is a central antagonist in Stephen King’s novel "Carrie," known as a cruel high school bully whose actions help trigger the story’s catastrophic climax.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd43949e6c8190ae5e4fa119cde33a completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b06554748190bf76e3383413a3c4 completed May 3, 2026, 8:30 p.m.
NEDg Description generation batch_69f7b11b824881909ed068c7d608d956 completed May 3, 2026, 8:33 p.m.
NED2 Entity disambiguation (via description) batch_69f7b1e0ab948190a046a68aa5e029a6 completed May 3, 2026, 8:36 p.m.
Created at: April 9, 2026, 9:54 p.m.