Triple

T12761953
Position Surface form Disambiguated ID Type / Status
Subject Flix SE E305016 entity
Predicate brand P1500 FINISHED
Object Greyhound
Greyhound is a long-distance intercity bus service brand known for its extensive coach network across North America.
 E1003203 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: Greyhound | Statement: [Flix SE, brand, Greyhound]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Greyhound
Context triple: [Flix SE, brand, Greyhound]
  • A. Greyhound
    Greyhound is a 2020 World War II naval thriller film starring Tom Hanks as a U.S. destroyer captain escorting Allied convoys across the Atlantic while evading German U-boats.
  • B. Greyhound
    Greyhound is a breed of tall, slender sighthound renowned for its exceptional speed and grace, historically used for hunting and racing.
  • C. Greyhounds
    Greyhounds is the nickname and mascot for Loyola University Maryland’s athletic teams, notably including its prominent men’s lacrosse program.
  • D. Foxhound
    Foxhound is the NATO reporting name for the Soviet-designed Mikoyan MiG-31, a long-range supersonic interceptor aircraft developed during the Cold War.
  • E. Talbot hound
    The Talbot hound is a now-extinct, large white hunting dog of medieval England, famed for its tracking ability and frequently used as a heraldic emblem.
  • 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: Greyhound
Triple: [Flix SE, brand, Greyhound]
Generated description
Greyhound is a long-distance intercity bus service brand known for its extensive coach network across North America.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Greyhound
Target entity description: Greyhound is a long-distance intercity bus service brand known for its extensive coach network across North America.
  • A. Greyhound
    Greyhound is a 2020 World War II naval thriller film starring Tom Hanks as a U.S. destroyer captain escorting Allied convoys across the Atlantic while evading German U-boats.
  • B. Greyhound
    Greyhound is a breed of tall, slender sighthound renowned for its exceptional speed and grace, historically used for hunting and racing.
  • C. Greyhounds
    Greyhounds is the nickname and mascot for Loyola University Maryland’s athletic teams, notably including its prominent men’s lacrosse program.
  • D. Foxhound
    Foxhound is the NATO reporting name for the Soviet-designed Mikoyan MiG-31, a long-range supersonic interceptor aircraft developed during the Cold War.
  • E. Talbot hound
    The Talbot hound is a now-extinct, large white hunting dog of medieval England, famed for its tracking ability and frequently used as a heraldic emblem.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d8e44188190840cd23d380bf23d completed April 10, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684f298f881908ad77f2d0ab588a8 completed May 2, 2026, 11:12 p.m.
NEDg Description generation batch_69f685dc63f48190bb68f9859e99e3b4 completed May 2, 2026, 11:16 p.m.
NED2 Entity disambiguation (via description) batch_69f68a92226881909600555332c2c370 completed May 2, 2026, 11:36 p.m.
Created at: April 9, 2026, 5:28 p.m.