Triple

T8135406
Position Surface form Disambiguated ID Type / Status
Subject Howard Fast E189957 entity
Predicate familyName P18 FINISHED
Object Fast
Fast is a surname most notably associated with American novelist and screenwriter Howard Fast, known for his historical and political works.
 E714184 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: Fast | Statement: [Howard Fast, familyName, Fast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fast
Context triple: [Howard Fast, familyName, Fast]
  • A. FAST
    FAST is a U.S. federal law that authorizes long-term funding and policy for the nation’s surface transportation infrastructure, including highways, transit, and rail.
  • B. Quick
    Quick is the fast-talking, street-smart protagonist played by Eddie Murphy in the 1989 crime-comedy film "Harlem Nights."
  • C. Fastiv
    Fastiv is a historic city in northern Ukraine known as a regional railway hub and industrial center southwest of Kyiv.
  • D. Quick Fast
    "Quick Fast" is a hip-hop track by the California rap duo Audio Push, known for its energetic delivery and West Coast-influenced production.
  • E. Speedy
    Speedy is a 1928 silent comedy film starring Harold Lloyd, known for its energetic New York City setting and memorable Coney Island and baseball sequences.
  • 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: Fast
Triple: [Howard Fast, familyName, Fast]
Generated description
Fast is a surname most notably associated with American novelist and screenwriter Howard Fast, known for his historical and political works.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fast
Target entity description: Fast is a surname most notably associated with American novelist and screenwriter Howard Fast, known for his historical and political works.
  • A. FAST
    FAST is a U.S. federal law that authorizes long-term funding and policy for the nation’s surface transportation infrastructure, including highways, transit, and rail.
  • B. Quick
    Quick is the fast-talking, street-smart protagonist played by Eddie Murphy in the 1989 crime-comedy film "Harlem Nights."
  • C. Fastiv
    Fastiv is a historic city in northern Ukraine known as a regional railway hub and industrial center southwest of Kyiv.
  • D. Quick Fast
    "Quick Fast" is a hip-hop track by the California rap duo Audio Push, known for its energetic delivery and West Coast-influenced production.
  • E. Speedy
    Speedy is a 1928 silent comedy film starring Harold Lloyd, known for its energetic New York City setting and memorable Coney Island and baseball sequences.
  • 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_69ca82bcb4848190a9a9d036ad768642 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb43fff6e0819086c95b571272b50c completed March 31, 2026, 3:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc949065248190b67ba7aa2688903e completed April 1, 2026, 3:44 a.m.
NEDg Description generation batch_69cc95c180188190a2d541e8ea9a4c57 completed April 1, 2026, 3:49 a.m.
NED2 Entity disambiguation (via description) batch_69cc970cf55c8190abf432ac68d6bbc3 completed April 1, 2026, 3:54 a.m.
Created at: March 30, 2026, 5:35 p.m.