Triple

T16489905
Position Surface form Disambiguated ID Type / Status
Subject John Lubbock E400541 entity
Predicate familyName P18 FINISHED
Object Lubbock
Lubbock is a surname of English origin associated with several notable figures, including scientists, politicians, and public servants.
 E1255134 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: Lubbock | Statement: [John Lubbock, familyName, Lubbock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lubbock
Context triple: [John Lubbock, familyName, Lubbock]
  • A. Lubbock
    Lubbock is a major city in northwest Texas known for its role as an agricultural, educational, and economic hub of the region.
  • B. Denton
    Denton is the given first name of legendary Major League Baseball pitcher Cy Young, the all-time leader in career wins.
  • C. Denton
    Denton is a town in Tameside, Greater Manchester, England, historically known for its hat-making industry and later as a residential and light industrial area near Manchester.
  • D. Kerrville
    Kerrville is a small city in central Texas known for its scenic Guadalupe River setting, Hill Country landscapes, and vibrant arts and music festivals.
  • E. Stephenville
    Stephenville is a town on the west coast of Newfoundland, Canada, known historically for its former U.S. air force base and its role as a regional service and transportation hub.
  • 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: Lubbock
Triple: [John Lubbock, familyName, Lubbock]
Generated description
Lubbock is a surname of English origin associated with several notable figures, including scientists, politicians, and public servants.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lubbock
Target entity description: Lubbock is a surname of English origin associated with several notable figures, including scientists, politicians, and public servants.
  • A. Lubbock
    Lubbock is a major city in northwest Texas known for its role as an agricultural, educational, and economic hub of the region.
  • B. Denton
    Denton is the given first name of legendary Major League Baseball pitcher Cy Young, the all-time leader in career wins.
  • C. Denton
    Denton is a town in Tameside, Greater Manchester, England, historically known for its hat-making industry and later as a residential and light industrial area near Manchester.
  • D. Kerrville
    Kerrville is a small city in central Texas known for its scenic Guadalupe River setting, Hill Country landscapes, and vibrant arts and music festivals.
  • E. Stephenville
    Stephenville is a town on the west coast of Newfoundland, Canada, known historically for its former U.S. air force base and its role as a regional service and transportation hub.
  • 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e2f31f48190825af5934d976ab7 completed April 18, 2026, 7:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fb40dc08190b9d6a04f3c19f57d completed May 11, 2026, 4:48 a.m.
NEDg Description generation batch_6a01611507bc8190a55d3c67f967ce89 completed May 11, 2026, 4:54 a.m.
NED2 Entity disambiguation (via description) batch_6a016166c854819090571ee05e77995d completed May 11, 2026, 4:56 a.m.
Created at: April 10, 2026, 5:13 a.m.