Triple

T12091364
Position Surface form Disambiguated ID Type / Status
Subject Samuel R. Delany E287948 entity
Predicate notableWork P4 FINISHED
Object Nova
Nova is a 1968 science fiction novel by Samuel R. Delany that blends space opera with experimental narrative techniques and themes of myth, technology, and power.
E965316 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: [Samuel R. Delany, notableWork, Nova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nova
Context triple: [Samuel R. Delany, notableWork, Nova]
  • A. Nova
    Nova is a highly skilled Terran Ghost operative and elite sniper from the StarCraft universe, known for her stealth, psionic abilities, and central role in various StarCraft stories and missions.
  • 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 name given to TransPennine Express’s modern fleet of intercity trains used across its key routes in the North of England and Scotland.
  • D. Nova
    Nova is the OpenStack project that provides scalable, on-demand compute resources for running virtual machines and other instances in cloud environments.
  • E. Nova
    Nova is a feminine given name of Latin origin meaning "new," often associated with brightness and novelty.
  • 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: [Samuel R. Delany, notableWork, Nova]
Generated description
Nova is a 1968 science fiction novel by Samuel R. Delany that blends space opera with experimental narrative techniques and themes of myth, technology, and power.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nova
Target entity description: Nova is a 1968 science fiction novel by Samuel R. Delany that blends space opera with experimental narrative techniques and themes of myth, technology, and power.
  • 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
    Nova is a feminine given name of Latin origin meaning "new," often associated with brightness and novelty.
  • E. Nova
    Nova is a highly skilled Terran Ghost operative and elite sniper from the StarCraft universe, known for her stealth, psionic abilities, and central role in various StarCraft stories and missions.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9151797988190b0d007ea806bcf02 completed April 10, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f66d1b44819091f638d2a621ecde completed May 2, 2026, 1:04 p.m.
NEDg Description generation batch_69f600b51f488190a85a8f10f190b3c0 completed May 2, 2026, 1:48 p.m.
NED2 Entity disambiguation (via description) batch_69f601ebaa448190ba59485d9d7d68d1 completed May 2, 2026, 1:53 p.m.
Created at: April 8, 2026, 9:48 p.m.