Triple

T129913
Position Surface form Disambiguated ID Type / Status
Subject Kathleen Kennedy Cavendish E2631 entity
Predicate marriedName P18 FINISHED
Object Cavendish
Cavendish is the married surname of Kathleen Kennedy, a member of the prominent Kennedy family who became Marchioness of Hartington.
E14916 NE FINISHED

How this triple was built (5 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: Cavendish | Statement: [Kathleen Kennedy Cavendish, marriedName, Cavendish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cavendish
Context triple: [Kathleen Kennedy Cavendish, marriedName, Cavendish]
  • A. Wollaston
    Wollaston is a Massachusetts Bay Transportation Authority (MBTA) rapid transit station on the Red Line located in Quincy, Massachusetts.
  • B. Table Bay
    Table Bay is a natural bay on the Atlantic coast of South Africa, famed as the historic anchorage and harbor area of Cape Town beneath Table Mountain.
  • C. Kutaisi
    Kutaisi is one of Georgia’s major cities, historically significant and formerly a capital, located in the western part of the country.
  • D. Valais
    Valais is a mountainous canton in southwestern Switzerland known for its Alpine scenery, vineyards, and popular ski resorts such as Zermatt and Verbier.
  • E. St. Helena
    St. Helena is a small, historic city in California’s Napa Valley known for its wineries, vineyards, and upscale culinary and tourism scene.
  • 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: Cavendish
Triple: [Kathleen Kennedy Cavendish, marriedName, Cavendish]
Generated description
Cavendish is the married surname of Kathleen Kennedy, a member of the prominent Kennedy family who became Marchioness of Hartington.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cavendish
Target entity description: Cavendish is the married surname of Kathleen Kennedy, a member of the prominent Kennedy family who became Marchioness of Hartington.
  • A. Wollaston
    Wollaston is a Massachusetts Bay Transportation Authority (MBTA) rapid transit station on the Red Line located in Quincy, Massachusetts.
  • B. Table Bay
    Table Bay is a natural bay on the Atlantic coast of South Africa, famed as the historic anchorage and harbor area of Cape Town beneath Table Mountain.
  • C. Kutaisi
    Kutaisi is one of Georgia’s major cities, historically significant and formerly a capital, located in the western part of the country.
  • D. Valais
    Valais is a mountainous canton in southwestern Switzerland known for its Alpine scenery, vineyards, and popular ski resorts such as Zermatt and Verbier.
  • E. St. Helena
    St. Helena is a small, historic city in California’s Napa Valley known for its wineries, vineyards, and upscale culinary and tourism scene.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: marriedName
Context triple: [Kathleen Kennedy Cavendish, marriedName, Cavendish]
  • A. middleName
    Indicates that one entity is the middle name of another entity.
  • B. spouse
    Indicates that two entities are married to each other in a legally or socially recognized partnership.
  • C. familyName chosen
    Indicates that one entity is the family (last) name associated with another entity (typically a person).
  • D. positionOnMarriage
    Indicates a person's stance, opinion, or policy regarding the institution or practice of marriage.
  • E. marriageDate
    Indicates the specific date on which two entities entered into a marital relationship.
  • F. None of above.

Provenance (6 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_69a2520c0f3481908b0ed054a2fca8d0 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a257845c548190bfb49409988d1c57 completed Feb. 28, 2026, 2:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2a3d73bf08190b0c3dd227206cab0 completed Feb. 28, 2026, 8:14 a.m.
NEDg Description generation batch_69a2a50e4bec8190ab7e27d852460f67 completed Feb. 28, 2026, 8:19 a.m.
NED2 Entity disambiguation (via description) batch_69a2a624eaf48190a7c31047832cbf34 completed Feb. 28, 2026, 8:24 a.m.
PD Predicate disambiguation batch_69a2564da96c8190aa8204de25229c15 completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:30 a.m.