Triple

T14506117
Position Surface form Disambiguated ID Type / Status
Subject Margaret Leathes Penrose E340267 entity
Predicate familyName P18 FINISHED
Object Penrose
Penrose is an English surname borne by several notable figures in science, mathematics, and the arts.
E1102260 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: Penrose | Statement: [Margaret Leathes Penrose, familyName, Penrose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Penrose
Context triple: [Margaret Leathes Penrose, familyName, Penrose]
  • A. Penrose
    Penrose is a neighborhood in Southwest Philadelphia known for its residential character and proximity to major city thoroughfares and the airport.
  • B. Penrose
    Penrose is the middle name of Guy Gibson, the famed Royal Air Force Wing Commander who led the World War II Dambusters raid.
  • C. Penrose
    Penrose is a small town located in Fremont County, Colorado, known for its rural character and agricultural surroundings.
  • D. Harriss
    Harriss is a surname variant of Harris, typically of English origin and used as a family name.
  • E. Penrose triangle
    The Penrose triangle is an impossible optical illusion figure that appears to be a solid three-dimensional triangle but cannot exist in Euclidean space.
  • 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: Penrose
Triple: [Margaret Leathes Penrose, familyName, Penrose]
Generated description
Penrose is an English surname borne by several notable figures in science, mathematics, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Penrose
Target entity description: Penrose is an English surname borne by several notable figures in science, mathematics, and the arts.
  • A. Penrose
    Penrose is a neighborhood in Southwest Philadelphia known for its residential character and proximity to major city thoroughfares and the airport.
  • B. Penrose
    Penrose is the middle name of Guy Gibson, the famed Royal Air Force Wing Commander who led the World War II Dambusters raid.
  • C. Penrose
    Penrose is a small town located in Fremont County, Colorado, known for its rural character and agricultural surroundings.
  • D. Harriss
    Harriss is a surname variant of Harris, typically of English origin and used as a family name.
  • E. Penrose triangle
    The Penrose triangle is an impossible optical illusion figure that appears to be a solid three-dimensional triangle but cannot exist in Euclidean space.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de94e25a2481908b8394e9a19f3b64 completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6da07ff481909fb2463b0ea92849 completed May 8, 2026, 4:59 a.m.
NEDg Description generation batch_69fd6eca4ff48190b7c16d92234cb43c completed May 8, 2026, 5:04 a.m.
NED2 Entity disambiguation (via description) batch_69fd6f38ea788190a957419ca1971b15 completed May 8, 2026, 5:06 a.m.
Created at: April 10, 2026, 1:21 a.m.