Triple

T1138117
Position Surface form Disambiguated ID Type / Status
Subject Anna Seward E23185 entity
Predicate familyName P18 FINISHED
Object Seward
Seward is an English surname historically associated with several notable figures in literature and politics.
 E129486 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: Seward | Statement: [Anna Seward, familyName, Seward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Seward
Context triple: [Anna Seward, familyName, Seward]
  • A. Seward
    Seward is a small coastal city in southern Alaska known as a gateway to Kenai Fjords National Park and a popular hub for fishing, tourism, and marine wildlife viewing.
  • B. Chisholm
    Chisholm is a residential suburb located in the Maitland region of New South Wales, Australia.
  • C. Meriwether
    Meriwether is a surname of English origin borne by various notable individuals, including American politician David Meriwether.
  • D. Knox
    Knox is a surname most famously associated with Henry Knox, a key American Revolutionary War general and the first United States Secretary of War.
  • E. Pendleton
    Pendleton is an inner-city district of Salford in Greater Manchester, England, known for its mix of residential areas, retail developments, and post-war social housing.
  • 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: Seward
Triple: [Anna Seward, familyName, Seward]
Generated description
Seward is an English surname historically associated with several notable figures in literature and politics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Seward
Target entity description: Seward is an English surname historically associated with several notable figures in literature and politics.
  • A. Seward
    Seward is a small coastal city in southern Alaska known as a gateway to Kenai Fjords National Park and a popular hub for fishing, tourism, and marine wildlife viewing.
  • B. Chisholm
    Chisholm is a residential suburb located in the Maitland region of New South Wales, Australia.
  • C. Meriwether
    Meriwether is a surname of English origin borne by various notable individuals, including American politician David Meriwether.
  • D. Knox
    Knox is a surname most famously associated with Henry Knox, a key American Revolutionary War general and the first United States Secretary of War.
  • E. Pendleton
    Pendleton is an inner-city district of Salford in Greater Manchester, England, known for its mix of residential areas, retail developments, and post-war social housing.
  • 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_69a493ec75988190b63a11bafaec29b4 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc25dda481909a26d726fdbdbb50 completed March 1, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac59b020d48190bc6ecbdb720c6779 completed March 7, 2026, 5 p.m.
NEDg Description generation batch_69ac5a7599048190a46b0d560270ffa4 completed March 7, 2026, 5:03 p.m.
NED2 Entity disambiguation (via description) batch_69ac5af24a948190a37c832508149a48 completed March 7, 2026, 5:05 p.m.
Created at: March 1, 2026, 7:44 p.m.