Triple

T15077659
Position Surface form Disambiguated ID Type / Status
Subject Lipscomb County E380047 entity
Predicate largestCity P235 FINISHED
Object Booker
Booker is a small town in the Texas Panhandle known as the primary population and economic center of rural Lipscomb County.
 E1135117 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: Booker | Statement: [Lipscomb County, largestCity, Booker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Booker
Context triple: [Lipscomb County, largestCity, Booker]
  • A. Booker
    Booker is a character associated with Rain, likely appearing in the same narrative or fictional universe.
  • B. Booker
    Booker is the given name of Booker T. Washington, the influential African American educator, author, and leader in the late 19th and early 20th centuries.
  • C. Booker
    Booker is a surname most prominently associated with Cory Booker, a U.S. Senator from New Jersey and former mayor of Newark.
  • D. Booker
    "Booker" is an American television series best known as a spin-off of the hit show "21 Jump Street," following the character Dennis Booker as he works as an investigator for a corporate security firm.
  • E. Booker
    Booker is a weary, immortal warrior and member of the covert team in "The Old Guard," known for his tragic backstory and conflicted loyalty.
  • 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: Booker
Triple: [Lipscomb County, largestCity, Booker]
Generated description
Booker is a small town in the Texas Panhandle known as the primary population and economic center of rural Lipscomb County.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Booker
Target entity description: Booker is a small town in the Texas Panhandle known as the primary population and economic center of rural Lipscomb County.
  • A. Booker
    Booker is a central character in Toni Morrison's novel "God Help the Child," serving as Bride's emotionally scarred lover whose past trauma profoundly shapes their relationship.
  • B. Booker
    "Booker" is an American television series best known as a spin-off of the hit show "21 Jump Street," following the character Dennis Booker as he works as an investigator for a corporate security firm.
  • C. Booker
    Booker is a surname most prominently associated with Cory Booker, a U.S. Senator from New Jersey and former mayor of Newark.
  • D. Booker
    Booker is the given name of Booker T. Washington, the influential African American educator, author, and leader in the late 19th and early 20th centuries.
  • E. Booker
    Booker is a character associated with Rain, likely appearing in the same narrative or fictional universe.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dff7fe5a208190823900b25e298dab completed April 15, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fea5d4f6a48190aeb42341b0c395a7 completed May 9, 2026, 3:11 a.m.
NEDg Description generation batch_69fea65a34f08190a76965dfee5b89e5 completed May 9, 2026, 3:13 a.m.
NED2 Entity disambiguation (via description) batch_69fea6e097bc81909ba468de2673b22e completed May 9, 2026, 3:15 a.m.
Created at: April 10, 2026, 3:03 a.m.