Triple

T20782402
Position Surface form Disambiguated ID Type / Status
Subject Trains and Boats and Planes E511520 entity
Predicate recordedBy P1165 FINISHED
Object the Dakotas
The Dakotas were a 1960s British beat group best known for their work as Billy J. Kramer’s backing band and for their own instrumental hits.
E1450795 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: the Dakotas | Statement: [Trains and Boats and Planes, recordedBy, the Dakotas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: the Dakotas
Context triple: [Trains and Boats and Planes, recordedBy, the Dakotas]
  • A. South Dakota
    South Dakota is a largely rural U.S. state known for the Black Hills, Mount Rushmore, and its Native American heritage.
  • B. North Dakota
    North Dakota is a sparsely populated U.S. state known for its Great Plains landscapes, agricultural economy, and significant oil production from the Bakken formation.
  • C. Dakota
    "Dakota" is a hit 2005 rock single by Welsh band Stereophonics, known for its anthemic sound and widespread commercial success.
  • D. 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.
  • E. Dakota
    Dakota is a character from the 1950 Western comedy film "A Ticket to Tomahawk," set against the backdrop of a frontier railroad adventure.
  • 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: the Dakotas
Triple: [Trains and Boats and Planes, recordedBy, the Dakotas]
Generated description
The Dakotas were a 1960s British beat group best known for their work as Billy J. Kramer’s backing band and for their own instrumental hits.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: the Dakotas
Target entity description: The Dakotas were a 1960s British beat group best known for their work as Billy J. Kramer’s backing band and for their own instrumental hits.
  • A. South Dakota
    South Dakota is a largely rural U.S. state known for the Black Hills, Mount Rushmore, and its Native American heritage.
  • B. North Dakota
    North Dakota is a sparsely populated U.S. state known for its Great Plains landscapes, agricultural economy, and significant oil production from the Bakken formation.
  • C. Dakota
    "Dakota" is a hit 2005 rock single by Welsh band Stereophonics, known for its anthemic sound and widespread commercial success.
  • D. 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.
  • E. Dakota
    Dakota is a character from the 1950 Western comedy film "A Ticket to Tomahawk," set against the backdrop of a frontier railroad adventure.
  • 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_69e0b4cac7a48190a715cb3d545df2b4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c28870e481909e7cbcdd6d4bc247 completed April 21, 2026, 12:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08f8b894a88190be0ae6cc8bc58ee3 completed May 16, 2026, 11:07 p.m.
NEDg Description generation batch_6a08f9b7171c819099e6c1f3740a6657 completed May 16, 2026, 11:11 p.m.
NED2 Entity disambiguation (via description) batch_6a08fa2a8c448190b7a8507925777055 completed May 16, 2026, 11:13 p.m.
Created at: April 16, 2026, 12:38 p.m.