Triple

T10089101
Position Surface form Disambiguated ID Type / Status
Subject Nova Pilbeam E215295 entity
Predicate givenName P17 FINISHED
Object Nova
Nova is a feminine given name of Latin origin meaning "new," often associated with brightness and novelty.
E840859 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: Nova | Statement: [Nova Pilbeam, givenName, Nova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nova
Context triple: [Nova Pilbeam, givenName, Nova]
  • A. Nova
    Nova is the name given to TransPennine Express’s modern fleet of intercity trains used across its key routes in the North of England and Scotland.
  • B. Nova
    Nova is a Spanish television channel that primarily targets female audiences with a mix of telenovelas, lifestyle programs, and entertainment content.
  • C. Nova
    Nova is the OpenStack project that provides scalable, on-demand compute resources for running virtual machines and other instances in cloud environments.
  • D. Nova Stella
    Nova Stella is the historic "new star" observed by Tycho Brahe in 1572, a supernova in the constellation Cassiopeia that helped transform early modern astronomy.
  • E. Nesta
    Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
  • 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: Nova
Triple: [Nova Pilbeam, givenName, Nova]
Generated description
Nova is a feminine given name of Latin origin meaning "new," often associated with brightness and novelty.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nova
Target entity description: Nova is a feminine given name of Latin origin meaning "new," often associated with brightness and novelty.
  • A. Nova
    Nova is the name given to TransPennine Express’s modern fleet of intercity trains used across its key routes in the North of England and Scotland.
  • B. Nova
    Nova is a Spanish television channel that primarily targets female audiences with a mix of telenovelas, lifestyle programs, and entertainment content.
  • C. Nova
    Nova is the OpenStack project that provides scalable, on-demand compute resources for running virtual machines and other instances in cloud environments.
  • D. Nova Stella
    Nova Stella is the historic "new star" observed by Tycho Brahe in 1572, a supernova in the constellation Cassiopeia that helped transform early modern astronomy.
  • E. Nesta
    Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
  • 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.