Triple

T10089102
Position Surface form Disambiguated ID Type / Status
Subject Nova Pilbeam E215295 entity
Predicate familyName P18 FINISHED
Object Pilbeam
Pilbeam is an English surname most notably associated with British actress Nova Pilbeam, known for her roles in 1930s cinema.
 E840860 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: Pilbeam | Statement: [Nova Pilbeam, familyName, Pilbeam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pilbeam
Context triple: [Nova Pilbeam, familyName, Pilbeam]
  • A. Stedman
    Stedman is a masculine given name most widely recognized through Stedman Graham, the American educator, author, and longtime partner of Oprah Winfrey.
  • B. Pittman
    Pittman is a surname of English origin borne by various notable individuals across politics, sports, and the arts.
  • C. Paton
    Paton is a surname and given name of Scottish origin, used by various notable individuals in fields such as sports, politics, and the arts.
  • D. Barlow
    Barlow is a surname most notably associated with John Perry Barlow, the American poet, essayist, and co-founder of the Electronic Frontier Foundation.
  • E. Prowent
    Prowent is a former village in western Poland, now part of Kórnik, best known as the birthplace of Nobel Prize–winning poet Wisława Szymborska.
  • 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: Pilbeam
Triple: [Nova Pilbeam, familyName, Pilbeam]
Generated description
Pilbeam is an English surname most notably associated with British actress Nova Pilbeam, known for her roles in 1930s cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pilbeam
Target entity description: Pilbeam is an English surname most notably associated with British actress Nova Pilbeam, known for her roles in 1930s cinema.
  • A. Stedman
    Stedman is a masculine given name most widely recognized through Stedman Graham, the American educator, author, and longtime partner of Oprah Winfrey.
  • B. Pittman
    Pittman is a surname of English origin borne by various notable individuals across politics, sports, and the arts.
  • C. Paton
    Paton is a surname and given name of Scottish origin, used by various notable individuals in fields such as sports, politics, and the arts.
  • D. Barlow
    Barlow is a surname most notably associated with John Perry Barlow, the American poet, essayist, and co-founder of the Electronic Frontier Foundation.
  • E. Prowent
    Prowent is a former village in western Poland, now part of Kórnik, best known as the birthplace of Nobel Prize–winning poet Wisława Szymborska.
  • 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_69ca83a1eed081908b2e9580f2ebeea7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd057e32881908bf630559af94906 completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b69cd26c8190bf4b488377dc0ce1 completed April 5, 2026, 7:23 p.m.
NEDg Description generation batch_69d2b7901ea08190a48e984356bd3d71 completed April 5, 2026, 7:27 p.m.
NED2 Entity disambiguation (via description) batch_69d2b8813f9c8190a85462efb7a0a517 completed April 5, 2026, 7:31 p.m.
Created at: March 30, 2026, 9:01 p.m.