Triple

T2882715
Position Surface form Disambiguated ID Type / Status
Subject Rudy Giuliani E59433 entity
Predicate spouse P13 FINISHED
Object Donna Hanover
Donna Hanover is an American journalist, actress, and former First Lady of New York City, best known for her marriage to former New York City Mayor Rudy Giuliani.
 E307054 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: Donna Hanover | Statement: [Rudy Giuliani, spouse, Donna Hanover]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Donna Hanover
Context triple: [Rudy Giuliani, spouse, Donna Hanover]
  • A. Antonia Van Drimmelen
    Antonia Van Drimmelen is a film editor known for her work on the political drama film "Charlie Wilson's War."
  • B. Donna
    Donna is a feminine given name of Italian origin that has been widely used in English-speaking countries.
  • C. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • D. Barbara
    Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
  • E. Dorys Madden
    Dorys Madden is best known as the wife of Basketball Hall of Famer Julius "Dr. J" Erving.
  • 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: Donna Hanover
Triple: [Rudy Giuliani, spouse, Donna Hanover]
Generated description
Donna Hanover is an American journalist, actress, and former First Lady of New York City, best known for her marriage to former New York City Mayor Rudy Giuliani.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Donna Hanover
Target entity description: Donna Hanover is an American journalist, actress, and former First Lady of New York City, best known for her marriage to former New York City Mayor Rudy Giuliani.
  • A. Antonia Van Drimmelen
    Antonia Van Drimmelen is a film editor known for her work on the political drama film "Charlie Wilson's War."
  • B. Donna
    Donna is a feminine given name of Italian origin that has been widely used in English-speaking countries.
  • C. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • D. Barbara
    Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
  • E. Dorys Madden
    Dorys Madden is best known as the wife of Basketball Hall of Famer Julius "Dr. J" Erving.
  • 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_69ab4ac739188190a112f42a5a69c951 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abe02c238881908f7a349563c388bf completed March 7, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b03167d7dc819093e91e0d42f3de6f completed March 10, 2026, 2:57 p.m.
NEDg Description generation batch_69b03549ed388190b478614397076361 completed March 10, 2026, 3:14 p.m.
NED2 Entity disambiguation (via description) batch_69b035f849888190a5b9ee15aa456522 completed March 10, 2026, 3:17 p.m.
Created at: March 6, 2026, 10:03 p.m.