Triple

T36867728
Position Surface form Disambiguated ID Type / Status
Subject Laura E911130 entity
Predicate hasAlternativeNameInScholarship P196479 FINISHED
Object Laura of Styria
Laura of Styria is a historical figure from the Styrian region, known primarily through scholarly references that distinguish her under this regional name.
 E2247673 NE FINISHED

How this triple was built (3 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: Laura of Styria | Statement: [Laura, hasAlternativeNameInScholarship, Laura of Styria]
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: Laura of Styria
Triple: [Laura, hasAlternativeNameInScholarship, Laura of Styria]
Generated description
Laura of Styria is a historical figure from the Styrian region, known primarily through scholarly references that distinguish her under this regional name.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasAlternativeNameInScholarship
Context triple: [Laura, hasAlternativeNameInScholarship, Laura of Styria]
  • A. hasTitleInScholarship
    Indicates that an entity holds or is associated with a specific title within an academic or scholarly context.
  • B. scholarshipEquivalency
    Indicates that one scholarship is considered equal in value, coverage, or benefit to another scholarship or financial award.
  • C. scholarshipType
    Indicates the specific category or kind of scholarship associated with an entity.
  • D. hasScholarshipOn
    Indicates that one entity provides or holds a scholarship related to another entity, such as a person receiving financial support for study at an institution or in a specific field.
  • E. associatedWithScholarshipField
    Indicates that an entity has a connection or relevance to a particular field or area of scholarship.
  • F. None of above. chosen

Provenance (7 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_69f76e80f6f0819091cba8e19b269615 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fe38be079c8190a240191ac0e73e3a completed May 8, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4103ffc4e88190a491a7e287ba2ecf completed June 28, 2026, 11:22 a.m.
NEDg Description generation batch_6a410817c2888190ac2cccd99b964ebc completed June 28, 2026, 11:40 a.m.
NED2 Entity disambiguation (via description) batch_6a41088f75a481908bf5c65c577c21a5 completed June 28, 2026, 11:42 a.m.
PD Predicate disambiguation batch_69fe350344508190930de2218156ca02 completed May 8, 2026, 7:09 p.m.
PDg Predicate description generation batch_69fe38bc3e9c8190838430b22b82503f completed May 8, 2026, 7:25 p.m.
Created at: May 3, 2026, 4:13 p.m.