Triple

T20398178
Position Surface form Disambiguated ID Type / Status
Subject A Ticket to Tomahawk E500261 entity
Predicate hasCharacter P2308 FINISHED
Object Dakota
Dakota is a character from the 1950 Western comedy film "A Ticket to Tomahawk," set against the backdrop of a frontier railroad adventure.
 E1427698 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: Dakota | Statement: [A Ticket to Tomahawk, hasCharacter, Dakota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dakota
Context triple: [A Ticket to Tomahawk, hasCharacter, Dakota]
  • A. Dakota
    The Dakota are a Native American people of the Sioux Nation historically located in the northern Great Plains and woodlands of what is now the United States and Canada.
  • B. Dakota
    Dakota is the British Commonwealth name for the Douglas C-47 Skytrain, a military transport aircraft widely used by the Allies during World War II.
  • C. Dakota
    Dakota is the fictional, crime-ridden Midwestern city that serves as the primary setting for the superhero animated series "Static Shock."
  • D. Dakota
    "Dakota" is a hit 2005 rock single by Welsh band Stereophonics, known for its anthemic sound and widespread commercial success.
  • E. Dakota
    Dakota is a given name commonly used in English-speaking countries for both males and females, derived from the Native American Dakota people and language.
  • 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: Dakota
Triple: [A Ticket to Tomahawk, hasCharacter, Dakota]
Generated description
Dakota is a character from the 1950 Western comedy film "A Ticket to Tomahawk," set against the backdrop of a frontier railroad adventure.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dakota
Target entity description: Dakota is a character from the 1950 Western comedy film "A Ticket to Tomahawk," set against the backdrop of a frontier railroad adventure.
  • A. Dakota
    Dakota is a given name commonly used in English-speaking countries for both males and females, derived from the Native American Dakota people and language.
  • B. Dakota
    The Dakota are a Native American people of the Sioux Nation historically located in the northern Great Plains and woodlands of what is now the United States and Canada.
  • C. Dakota
    Dakota is a location in the United States historically associated with events or institutions related to the Holocaust, such as memorials, educational centers, or research initiatives.
  • D. Dakota
    Dakota is the fictional, crime-ridden Midwestern city that serves as the primary setting for the superhero animated series "Static Shock."
  • E. Dakota
    Dakota is the British Commonwealth name for the Douglas C-47 Skytrain, a military transport aircraft widely used by the Allies during World War II.
  • 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_69e0b4a81bec8190b69adfdc1336a015 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6798c2b28819092fab93f01218cde completed April 20, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a087629f618819086c4747990ceb22f completed May 16, 2026, 1:50 p.m.
NEDg Description generation batch_6a0876cc45b88190a7179ca4d518f899 completed May 16, 2026, 1:53 p.m.
NED2 Entity disambiguation (via description) batch_6a0877355bc08190909694d1bb0c3e67 completed May 16, 2026, 1:55 p.m.
Created at: April 16, 2026, 11:29 a.m.