Triple

T2742718
Position Surface form Disambiguated ID Type / Status
Subject Derek Lowe E60789 entity
Predicate familyName P18 FINISHED
Object Lowe
Lowe is a common English surname of Anglo-Saxon origin, often derived from the Old English word for a small hill or burial mound.
 E295304 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: Lowe | Statement: [Derek Lowe, familyName, Lowe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lowe
Context triple: [Derek Lowe, familyName, Lowe]
  • A. Barlow
    Barlow is a surname most notably associated with John Perry Barlow, the American poet, essayist, and co-founder of the Electronic Frontier Foundation.
  • B. Louw
    Louw is a surname of Afrikaans and Dutch origin borne by several notable South African figures, including writers and public personalities.
  • C. Hartley
    Hartley is an English-language surname of Old English origin, commonly associated with various notable figures across fields such as science, politics, and the arts.
  • D. Hartley
    Hartley is a small census-designated community located in Solano County, California.
  • E. Lambert
    Lambert is a masculine given name of Germanic origin, historically borne by various saints, nobles, and notable figures in Europe.
  • 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: Lowe
Triple: [Derek Lowe, familyName, Lowe]
Generated description
Lowe is a common English surname of Anglo-Saxon origin, often derived from the Old English word for a small hill or burial mound.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lowe
Target entity description: Lowe is a common English surname of Anglo-Saxon origin, often derived from the Old English word for a small hill or burial mound.
  • A. Barlow
    Barlow is a surname most notably associated with John Perry Barlow, the American poet, essayist, and co-founder of the Electronic Frontier Foundation.
  • B. Louw
    Louw is a surname of Afrikaans and Dutch origin borne by several notable South African figures, including writers and public personalities.
  • C. Hartley
    Hartley is an English-language surname of Old English origin, commonly associated with various notable figures across fields such as science, politics, and the arts.
  • D. Hartley
    Hartley is a small census-designated community located in Solano County, California.
  • E. Lambert
    Lambert is a masculine given name of Germanic origin, historically borne by various saints, nobles, and notable figures in Europe.
  • 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_69ab4b77febc819095603eb012cd141b completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb314410819095d4822f9277e6ff completed March 7, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbcca19881908b2e2eb0478c3e45 completed March 10, 2026, 6:35 a.m.
NEDg Description generation batch_69afbc758cc48190a96f80a850316ce3 completed March 10, 2026, 6:38 a.m.
NED2 Entity disambiguation (via description) batch_69afbd7be9088190a19bed27249e95c4 completed March 10, 2026, 6:43 a.m.
Created at: March 6, 2026, 9:56 p.m.