Triple

T20915611
Position Surface form Disambiguated ID Type / Status
Subject Reggie Lanning E515063 entity
Predicate notableWork P4 FINISHED
Object Dakota
Dakota is a 1945 American Western film starring John Wayne and Vera Ralston, directed by Joseph Kane.
 E1457039 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: [Reggie Lanning, notableWork, Dakota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dakota
Context triple: [Reggie Lanning, notableWork, Dakota]
  • A. Dakota
    "Dakota" is a hit 2005 rock single by Welsh band Stereophonics, known for its anthemic sound and widespread commercial success.
  • B. 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.
  • C. Dakota
    Dakota is a character from the 1950 Western comedy film "A Ticket to Tomahawk," set against the backdrop of a frontier railroad adventure.
  • D. 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.
  • E. Dakota
    Dakota is the fictional, crime-ridden Midwestern city that serves as the primary setting for the superhero animated series "Static Shock."
  • 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: [Reggie Lanning, notableWork, Dakota]
Generated description
Dakota is a 1945 American Western film starring John Wayne and Vera Ralston, directed by Joseph Kane.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dakota
Target entity description: Dakota is a 1945 American Western film starring John Wayne and Vera Ralston, directed by Joseph Kane.
  • A. Dakota
    Dakota is a character from the 1950 Western comedy film "A Ticket to Tomahawk," set against the backdrop of a frontier railroad adventure.
  • 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 given name commonly used in English-speaking countries for both males and females, derived from the Native American Dakota people and language.
  • D. 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.
  • E. Dakota
    "Dakota" is a hit 2005 rock single by Welsh band Stereophonics, known for its anthemic sound and widespread commercial success.
  • 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_69e0b4f9d5ec8190bb2bd27350ed341c completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6ec628a38819093dcb70de91c770b completed April 21, 2026, 3:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0918e0178081908c271dc800de798e completed May 17, 2026, 1:24 a.m.
NEDg Description generation batch_6a091be2f1208190a57e7f7d8aabddc0 completed May 17, 2026, 1:37 a.m.
NED2 Entity disambiguation (via description) batch_6a091c47b3dc81908a5188ad63e14ec6 completed May 17, 2026, 1:39 a.m.
Created at: April 16, 2026, 12:48 p.m.