Triple

T12401777
Position Surface form Disambiguated ID Type / Status
Subject Cordelia Scaife May E296272 entity
Predicate familyName P18 FINISHED
Object Scaife
Scaife is an American surname most prominently associated with the wealthy and influential Scaife family of industrialists and philanthropists.
 E981331 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: Scaife | Statement: [Cordelia Scaife May, familyName, Scaife]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Scaife
Context triple: [Cordelia Scaife May, familyName, Scaife]
  • A. Whiteread
    Whiteread is the surname of Rachel Whiteread, a prominent British sculptor known for her large-scale casts of negative spaces in everyday architecture and objects.
  • B. Bancroft
    Bancroft is an English-origin surname borne by various notable figures in politics, academia, and the arts.
  • C. Eldridge
    Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
  • D. McClurg
    McClurg is the namesake of the historic McClurg Building, a notable structure recognized for its architectural and cultural significance.
  • E. Munger
    Munger is a historic city in the eastern Indian state of Bihar, known for its ancient fort, spiritual centers, and traditional gun-making industry.
  • 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: Scaife
Triple: [Cordelia Scaife May, familyName, Scaife]
Generated description
Scaife is an American surname most prominently associated with the wealthy and influential Scaife family of industrialists and philanthropists.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Scaife
Target entity description: Scaife is an American surname most prominently associated with the wealthy and influential Scaife family of industrialists and philanthropists.
  • A. Whiteread
    Whiteread is the surname of Rachel Whiteread, a prominent British sculptor known for her large-scale casts of negative spaces in everyday architecture and objects.
  • B. Bancroft
    Bancroft is an English-origin surname borne by various notable figures in politics, academia, and the arts.
  • C. Eldridge
    Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
  • D. McClurg
    McClurg is the namesake of the historic McClurg Building, a notable structure recognized for its architectural and cultural significance.
  • E. Munger
    Munger is a historic city in the eastern Indian state of Bihar, known for its ancient fort, spiritual centers, and traditional gun-making industry.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d477004819095e65ef6f70c69d9 completed April 10, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63484c6808190a71d24f8ee3a7e15 completed May 2, 2026, 5:29 p.m.
NEDg Description generation batch_69f63675dbb08190b2711d1d58ffea9b completed May 2, 2026, 5:37 p.m.
NED2 Entity disambiguation (via description) batch_69f6375cc6908190922825013e0b4000 completed May 2, 2026, 5:41 p.m.
Created at: April 8, 2026, 9:55 p.m.