Triple

T2350708
Position Surface form Disambiguated ID Type / Status
Subject Peaky Blinders E47440 entity
Predicate starring P1507 FINISHED
Object Paul Anderson
Paul Anderson is a British actor best known for his role as Arthur Shelby in the television crime drama series "Peaky Blinders."
E259892 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: Paul Anderson | Statement: [Peaky Blinders, starring, Paul Anderson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Anderson
Context triple: [Peaky Blinders, starring, Paul Anderson]
  • A. Brian D. O. Anderson
    Brian D. O. Anderson is a prominent Australian control theorist and engineer known for his influential contributions to systems theory, signal processing, and control engineering.
  • B. Joseph Anderson
    Joseph Anderson was an early American politician and jurist who served as a U.S. Senator from Tennessee in the late 18th and early 19th centuries.
  • C. Sean Anderson
    Sean Anderson is a writer associated with the group or publication known as Clique.
  • D. Alan Marshall
    Alan Marshall is a British film producer known for his work on notable movies including the musical gangster film "Bugsy Malone."
  • E. Roland Anderson
    Roland Anderson was an American art director known for his work on numerous Hollywood films from the 1930s through the 1960s, earning multiple Academy Award nominations for his production design.
  • 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: Paul Anderson
Triple: [Peaky Blinders, starring, Paul Anderson]
Generated description
Paul Anderson is a British actor best known for his role as Arthur Shelby in the television crime drama series "Peaky Blinders."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Paul Anderson
Target entity description: Paul Anderson is a British actor best known for his role as Arthur Shelby in the television crime drama series "Peaky Blinders."
  • A. Brian D. O. Anderson
    Brian D. O. Anderson is a prominent Australian control theorist and engineer known for his influential contributions to systems theory, signal processing, and control engineering.
  • B. Joseph Anderson
    Joseph Anderson was an early American politician and jurist who served as a U.S. Senator from Tennessee in the late 18th and early 19th centuries.
  • C. Sean Anderson
    Sean Anderson is a writer associated with the group or publication known as Clique.
  • D. Alan Marshall
    Alan Marshall is a British film producer known for his work on notable movies including the musical gangster film "Bugsy Malone."
  • E. Roland Anderson
    Roland Anderson was an American art director known for his work on numerous Hollywood films from the 1930s through the 1960s, earning multiple Academy Award nominations for his production design.
  • 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc6cfffc88190b49433f52581420e completed March 7, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea884ac4c8190b484db995251c136 completed March 9, 2026, 11:01 a.m.
NEDg Description generation batch_69aea92cc66c81909a46b83200960fe2 completed March 9, 2026, 11:04 a.m.
NED2 Entity disambiguation (via description) batch_69aea9b8dff08190a09f0c965dfd6738 completed March 9, 2026, 11:06 a.m.
Created at: March 4, 2026, 7:54 p.m.