Triple

T19734647
Position Surface form Disambiguated ID Type / Status
Subject Paul Kaye E473944 entity
Predicate spouse P13 FINISHED
Object Orly Katz
Orly Katz is the wife of British actor and comedian Paul Kaye, known for maintaining a largely private life outside of her husband's public career.
 E1401764 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: Orly Katz | Statement: [Paul Kaye, spouse, Orly Katz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Orly Katz
Context triple: [Paul Kaye, spouse, Orly Katz]
  • A. Orly Goldwasser
    Orly Goldwasser is an Israeli Egyptologist and epigrapher known for her influential research on early alphabetic writing and the interpretation of ancient inscriptions.
  • B. Daphna Kastner
    Daphna Kastner is a Canadian actress, screenwriter, and director known for her work in independent films.
  • C. Orly Sud
    Orly Sud is the former name of Orly 4, a terminal facility at Paris Orly Airport in France.
  • D. Orit Gadiesh
    Orit Gadiesh is an Israeli-American businesswoman and longtime chair of the global management consulting firm Bain & Company, known for her influence in corporate strategy and leadership.
  • E. Nina Katzir
    Nina Katzir was the wife of Israeli President Ephraim Katzir and served as Israel’s First Lady in the 1970s, known for her public and social activities.
  • 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: Orly Katz
Triple: [Paul Kaye, spouse, Orly Katz]
Generated description
Orly Katz is the wife of British actor and comedian Paul Kaye, known for maintaining a largely private life outside of her husband's public career.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Orly Katz
Target entity description: Orly Katz is the wife of British actor and comedian Paul Kaye, known for maintaining a largely private life outside of her husband's public career.
  • A. Orly Goldwasser
    Orly Goldwasser is an Israeli Egyptologist and epigrapher known for her influential research on early alphabetic writing and the interpretation of ancient inscriptions.
  • B. Daphna Kastner
    Daphna Kastner is a Canadian actress, screenwriter, and director known for her work in independent films.
  • C. Orly Sud
    Orly Sud is the former name of Orly 4, a terminal facility at Paris Orly Airport in France.
  • D. Orit Gadiesh
    Orit Gadiesh is an Israeli-American businesswoman and longtime chair of the global management consulting firm Bain & Company, known for her influence in corporate strategy and leadership.
  • E. Nina Katzir
    Nina Katzir was the wife of Israeli President Ephraim Katzir and served as Israel’s First Lady in the 1970s, known for her public and social activities.
  • 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6515d138c8190a4c4d112ed5756a3 completed April 20, 2026, 4:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ea2d42f08190b82db960d7becd04 completed May 16, 2026, 3:53 a.m.
NEDg Description generation batch_6a07ef8943b08190a9eeb3b8ef0398c2 completed May 16, 2026, 4:16 a.m.
NED2 Entity disambiguation (via description) batch_6a07eff44be081909686b6f5c9a5f2b3 completed May 16, 2026, 4:17 a.m.
Created at: April 10, 2026, 1:47 p.m.