Triple

T22750208
Position Surface form Disambiguated ID Type / Status
Subject David Lipscomb E562672 entity
Predicate familyName P18 FINISHED
Object Lipscomb NE NERFINISHED

How this triple was built (2 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: Lipscomb | Statement: [David Lipscomb, familyName, Lipscomb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lipscomb
Context triple: [David Lipscomb, familyName, Lipscomb]
  • A. Lipscomb
    Lipscomb is a small city located in Jefferson County, Alabama, within the Birmingham metropolitan area.
  • B. Lipscomb
    Lipscomb is a small town in the Texas Panhandle that serves as the administrative and governmental center of rural Lipscomb County.
  • C. Lipscomb chosen
    Lipscomb is a surname most notably associated with William N. Lipscomb Jr., an American chemist and Nobel Prize laureate recognized for his work in chemical bonding and molecular structure.
  • D. Lipscomb University
    Lipscomb University is a private Christian liberal arts institution in Nashville, Tennessee, known for integrating faith-based education with a wide range of undergraduate and graduate programs.
  • E. Vanderbilt
    Vanderbilt is a prominent American family name most famously associated with the wealthy industrialist and philanthropist dynasty of the 19th and early 20th centuries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24551ec7881909a9c924dbea155f6 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f179b8e9408190b251700d3386a1b9 completed April 29, 2026, 3:23 a.m.
Created at: April 17, 2026, 3:24 p.m.