Triple

T15179686
Position Surface form Disambiguated ID Type / Status
Subject David Low Way E362707 entity
Predicate namedAfter P63 FINISHED
Object David Low
David Low was a prominent New Zealand-born political cartoonist renowned for his influential anti-fascist cartoons during the mid-20th century.
 E1141446 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: David Low | Statement: [David Low Way, namedAfter, David Low]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: David Low
Context triple: [David Low Way, namedAfter, David Low]
  • A. Bill Lowry
    Bill Lowry is a person notable enough to be recognized as a prominent bearer of the surname Lowry.
  • B. Jonathan Low
    Jonathan Low is a Grammy-winning American recording engineer and producer known for his work with artists such as The National, Taylor Swift, and Bon Iver.
  • C. Peter Lowe
    Peter Lowe was a Scottish surgeon of the late 16th and early 17th centuries who played a key role in professionalizing medical practice in Glasgow.
  • D. Daniel Low
    Daniel Low is known primarily as the son of George M. Low, the prominent NASA engineer and administrator involved in the Apollo program.
  • E. Alexander Low
    Alexander Low is the middle name of the American civil engineer J. A. L. Waddell, known for his influential work in bridge design.
  • 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: David Low
Triple: [David Low Way, namedAfter, David Low]
Generated description
David Low was a prominent New Zealand-born political cartoonist renowned for his influential anti-fascist cartoons during the mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: David Low
Target entity description: David Low was a prominent New Zealand-born political cartoonist renowned for his influential anti-fascist cartoons during the mid-20th century.
  • A. Bill Lowry
    Bill Lowry is a person notable enough to be recognized as a prominent bearer of the surname Lowry.
  • B. Jonathan Low
    Jonathan Low is a Grammy-winning American recording engineer and producer known for his work with artists such as The National, Taylor Swift, and Bon Iver.
  • C. Peter Lowe
    Peter Lowe was a Scottish surgeon of the late 16th and early 17th centuries who played a key role in professionalizing medical practice in Glasgow.
  • D. Daniel Low
    Daniel Low is known primarily as the son of George M. Low, the prominent NASA engineer and administrator involved in the Apollo program.
  • E. Alexander Low
    Alexander Low is the middle name of the American civil engineer J. A. L. Waddell, known for his influential work in bridge design.
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00664caac81909bee1268264769f8 completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec89210e081909e8077fa2487c40e completed May 9, 2026, 5:39 a.m.
NEDg Description generation batch_69fec998bd908190a14574b9e08cab4a completed May 9, 2026, 5:43 a.m.
NED2 Entity disambiguation (via description) batch_69feca58c02081909b8ee4066297e194 completed May 9, 2026, 5:47 a.m.
Created at: April 10, 2026, 3:09 a.m.