Triple

T10945339
Position Surface form Disambiguated ID Type / Status
Subject Katharine Pember E258580 entity
Predicate familyName P18 FINISHED
Object Pember
Pember is an English surname associated with individuals such as Katharine Pember.
 E668588 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: Pember | Statement: [Katharine Pember, familyName, Pember]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pember
Context triple: [Katharine Pember, familyName, Pember]
  • A. Pember
    Pember is a given name associated with George Pember Darwin, a member of the prominent Darwin family.
  • B. Plered
    Plered was a historical Javanese city that served as a royal center of power during the era of the Mataram Sultanate in central Java.
  • C. Poronin
    Poronin is a village in southern Poland’s Tatra region, known as a gateway to the Tatra Mountains and a base for tourism near Zakopane.
  • D. Petawawa
    Petawawa is a town in eastern Ontario, Canada, known for its large Canadian Forces base and proximity to the Ottawa River and Algonquin Provincial Park.
  • E. Profian
    Profian is a technology company focused on confidential computing and secure WebAssembly-based solutions.
  • 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: Pember
Triple: [Katharine Pember, familyName, Pember]
Generated description
Pember is an English surname associated with individuals such as Katharine Pember.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pember
Target entity description: Pember is an English surname associated with individuals such as Katharine Pember.
  • A. Pember chosen
    Pember is a given name associated with George Pember Darwin, a member of the prominent Darwin family.
  • B. Plered
    Plered was a historical Javanese city that served as a royal center of power during the era of the Mataram Sultanate in central Java.
  • C. Poronin
    Poronin is a village in southern Poland’s Tatra region, known as a gateway to the Tatra Mountains and a base for tourism near Zakopane.
  • D. Petawawa
    Petawawa is a town in eastern Ontario, Canada, known for its large Canadian Forces base and proximity to the Ottawa River and Algonquin Provincial Park.
  • E. Profian
    Profian is a technology company focused on confidential computing and secure WebAssembly-based solutions.
  • F. None of above.

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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770e9a89081908979efd1d9e6af66 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23c3c885081908edcece772b2e759 completed April 17, 2026, 1:57 p.m.
NEDg Description generation batch_69e24542b4f081909c97621f04da8ecc completed April 17, 2026, 2:35 p.m.
NED2 Entity disambiguation (via description) batch_69e248f7f96481909fa6e6cd07891566 completed April 17, 2026, 2:51 p.m.
Created at: April 8, 2026, 9:23 p.m.