Triple

T20924051
Position Surface form Disambiguated ID Type / Status
Subject Commander Bill Norton E515288 entity
Predicate explores P1857 FINISHED
Object Rama
Rama is a mysterious, massive cylindrical alien starship that becomes the focus of human exploration in Arthur C. Clarke's science fiction novel "Rendezvous with Rama."
E1458576 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: Rama | Statement: [Commander Bill Norton, explores, Rama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rama
Context triple: [Commander Bill Norton, explores, Rama]
  • A. Rama
    Rama is a river in Bosnia and Herzegovina that flows through mountainous terrain before joining the Neretva River.
  • B. Rama
    Rama is a common Albanian surname notably borne by Edi Rama, the Prime Minister of Albania.
  • C. Rama
    Rama is a small rural community located in the Canadian province of Saskatchewan.
  • D. Rama
    Rama is a small scenic village in Pakistan’s Gilgit-Baltistan region, known as a gateway to the lush Rama Meadows and views of Nanga Parbat.
  • E. Rama
    Rama is a First Nations community in Ontario, Canada, known for the Chippewas of Rama First Nation and the Casino Rama resort.
  • 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: Rama
Triple: [Commander Bill Norton, explores, Rama]
Generated description
Rama is a mysterious, massive cylindrical alien starship that becomes the focus of human exploration in Arthur C. Clarke's science fiction novel "Rendezvous with Rama."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rama
Target entity description: Rama is a mysterious, massive cylindrical alien starship that becomes the focus of human exploration in Arthur C. Clarke's science fiction novel "Rendezvous with Rama."
  • A. Rama
    Rama is a character in John Steinbeck’s novel "To a God Unknown," representing mystical and spiritual elements within the story’s exploration of land, faith, and destiny.
  • B. Rama
    Rama is a major Hindu deity and the virtuous prince-king of Ayodhya, revered as the seventh avatar of Vishnu and hero of the epic Ramayana.
  • C. Rama
    Rama is a small scenic village in Pakistan’s Gilgit-Baltistan region, known as a gateway to the lush Rama Meadows and views of Nanga Parbat.
  • D. Rama
    Rama is a river in Bosnia and Herzegovina that flows through mountainous terrain before joining the Neretva River.
  • E. Rama
    Rama is a First Nations community in Ontario, Canada, known for the Chippewas of Rama First Nation and the Casino Rama resort.
  • 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_69e0b4fb431c8190b9d40e6a72f0cc87 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f6504c30819084e8cabab98d08f7 completed April 21, 2026, 4 a.m.
NED1 Entity disambiguation (via context triple) batch_6a091fca98948190b7a5920b507bd0ab completed May 17, 2026, 1:54 a.m.
NEDg Description generation batch_6a09242314bc8190a16b8c43f1720c7c completed May 17, 2026, 2:12 a.m.
NED2 Entity disambiguation (via description) batch_6a0924e6ae648190a89a63ced5330db2 completed May 17, 2026, 2:16 a.m.
Created at: April 16, 2026, 12:49 p.m.