Triple

T9112411
Position Surface form Disambiguated ID Type / Status
Subject Jim Moriarty E218633 entity
Predicate portrayedBy P1507 FINISHED
Object Eric Porter
Eric Porter was a distinguished English actor best known for his classical stage work and prominent roles in British television and film during the mid-20th century.
 E797651 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 Porter | Statement: [Jim Moriarty, portrayedBy, Eric Porter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eric Porter
Context triple: [Jim Moriarty, portrayedBy, Eric Porter]
  • A. Chris Porter
    Chris Porter is a music producer best known for his work on the hit song "Back for Good" by Take That.
  • B. John Porter
    John Porter is a British record producer and musician best known for his work on influential blues and rock albums.
  • C. Ben Porterfield
    Ben Porterfield is a technology entrepreneur best known as a co-founder of the business intelligence and data analytics company Looker.
  • D. Carl Porter
    Carl Porter is a character from the television series "Revenge," known as the son of Amanda Clarke and Jack Porter.
  • E. Scott Porter
    Scott Porter is an American actor best known for his roles on television series such as "Friday Night Lights" and "Hart of Dixie."
  • 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 Porter
Triple: [Jim Moriarty, portrayedBy, Eric Porter]
Generated description
Eric Porter was a distinguished English actor best known for his classical stage work and prominent roles in British television and film during the mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eric Porter
Target entity description: Eric Porter was a distinguished English actor best known for his classical stage work and prominent roles in British television and film during the mid-20th century.
  • A. Chris Porter
    Chris Porter is a music producer best known for his work on the hit song "Back for Good" by Take That.
  • B. John Porter
    John Porter is a British record producer and musician best known for his work on influential blues and rock albums.
  • C. Ben Porterfield
    Ben Porterfield is a technology entrepreneur best known as a co-founder of the business intelligence and data analytics company Looker.
  • D. Carl Porter
    Carl Porter is a character from the television series "Revenge," known as the son of Amanda Clarke and Jack Porter.
  • E. Scott Porter
    Scott Porter is an American actor best known for his roles on television series such as "Friday Night Lights" and "Hart of Dixie."
  • 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_69ca83dc94ac8190b9ef42684d36ff39 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8495c448190b9bb3803fb2dda70 completed April 1, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1077a9cb0819086996b4930a44a93 completed April 4, 2026, 12:43 p.m.
NEDg Description generation batch_69d1086f03808190896186daa5857e39 completed April 4, 2026, 12:47 p.m.
NED2 Entity disambiguation (via description) batch_69d1090215308190beda7c0115020f5b completed April 4, 2026, 12:50 p.m.
Created at: March 30, 2026, 7:16 p.m.