Triple

T5227797
Position Surface form Disambiguated ID Type / Status
Subject The Robe E118034 entity
Predicate portrayedBy P1507 FINISHED
Object Jay Novello
Jay Novello was an American character actor known for his prolific work in film, radio, and television from the 1930s through the 1960s, often playing comic or ethnic supporting roles.
 E502680 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: Jay Novello | Statement: [The Robe, portrayedBy, Jay Novello]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jay Novello
Context triple: [The Robe, portrayedBy, Jay Novello]
  • A. Anthony Harvey
    Anthony Harvey was a British film editor and director best known for his acclaimed work on the historical drama "The Lion in Winter."
  • B. John Hadden
    John Hadden is a theater artist and director best known as a co-founder of the Shakespeare & Company theater troupe.
  • C. Greg McEwan
    Greg McEwan is a child of the acclaimed British novelist Ian McEwan.
  • D. Richard Learoyd
    Richard Learoyd is a film editor known for his work on major feature films, including the fantasy action movie "Gods of Egypt."
  • E. Ian Black
    Ian Black is a name shared by several notable individuals, including a British journalist and author known for his work on Middle Eastern affairs.
  • 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: Jay Novello
Triple: [The Robe, portrayedBy, Jay Novello]
Generated description
Jay Novello was an American character actor known for his prolific work in film, radio, and television from the 1930s through the 1960s, often playing comic or ethnic supporting roles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jay Novello
Target entity description: Jay Novello was an American character actor known for his prolific work in film, radio, and television from the 1930s through the 1960s, often playing comic or ethnic supporting roles.
  • A. Anthony Harvey
    Anthony Harvey was a British film editor and director best known for his acclaimed work on the historical drama "The Lion in Winter."
  • B. John Hadden
    John Hadden is a theater artist and director best known as a co-founder of the Shakespeare & Company theater troupe.
  • C. Greg McEwan
    Greg McEwan is a child of the acclaimed British novelist Ian McEwan.
  • D. Richard Learoyd
    Richard Learoyd is a film editor known for his work on major feature films, including the fantasy action movie "Gods of Egypt."
  • E. Ian Black
    Ian Black is a name shared by several notable individuals, including a British journalist and author known for his work on Middle Eastern affairs.
  • 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_69bd4466fb8c819083b806a79414d7e4 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7addbdb88190baf9f47fc4cbb7fc completed March 20, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69beeffea8f481909c86c932781c4e2a completed March 21, 2026, 7:22 p.m.
NEDg Description generation batch_69bef097f5e48190b8a28995f345c764 completed March 21, 2026, 7:25 p.m.
NED2 Entity disambiguation (via description) batch_69bef0f0ceb081908600d75b6e52f45a completed March 21, 2026, 7:26 p.m.
Created at: March 20, 2026, 1:48 p.m.