Triple

T8492269
Position Surface form Disambiguated ID Type / Status
Subject Ebling Mis E201001 entity
Predicate nationalityInFiction P15237 FINISHED
Object Terminian
Terminian refers to a fictional nationality or people associated with the character Ebling Mis in Isaac Asimov’s Foundation universe.
E735900 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: Terminian | Statement: [Ebling Mis, nationalityInFiction, Terminian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terminian
Context triple: [Ebling Mis, nationalityInFiction, Terminian]
  • A. Terminus
    Terminus was the original 19th-century name for the settlement that later became the city of Atlanta, Georgia.
  • B. Terminus
    "Terminus" is a poem by Seamus Heaney, featured in his collection *The Haw Lantern*, that reflects on themes of borders, identity, and historical division.
  • C. Terra X
    Terra X is a long-running German documentary television series on ZDF that explores history, science, and nature through high-quality, narrative-driven films.
  • D. The Turim
    The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
  • E. Sidetian
    Sidetian is an alternative name for the Sidetic language, an ancient Anatolian tongue once spoken in the city of Side in what is now southern Turkey.
  • 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: Terminian
Triple: [Ebling Mis, nationalityInFiction, Terminian]
Generated description
Terminian refers to a fictional nationality or people associated with the character Ebling Mis in Isaac Asimov’s Foundation universe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Terminian
Target entity description: Terminian refers to a fictional nationality or people associated with the character Ebling Mis in Isaac Asimov’s Foundation universe.
  • A. Terminus
    Terminus was the original 19th-century name for the settlement that later became the city of Atlanta, Georgia.
  • B. Terminus
    "Terminus" is a poem by Seamus Heaney, featured in his collection *The Haw Lantern*, that reflects on themes of borders, identity, and historical division.
  • C. Terminus chosen
    Terminus is the remote frontier planet that serves as the capital of the Foundation in Isaac Asimov’s science fiction series.
  • D. Terra X
    Terra X is a long-running German documentary television series on ZDF that explores history, science, and nature through high-quality, narrative-driven films.
  • E. The Turim
    The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
  • F. None of above.

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_69ca831ee390819095fae73400bbfafc completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe55cf5dc81908cad31ac53e15b46 completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a5c260c8190bc7012a04363d260 completed April 2, 2026, 9:43 a.m.
NEDg Description generation batch_69ce3ca3be5c8190844e54805e9acaeb completed April 2, 2026, 9:53 a.m.
NED2 Entity disambiguation (via description) batch_69ce3d4e92e88190a90ba1567c569b00 completed April 2, 2026, 9:56 a.m.
Created at: March 30, 2026, 6:13 p.m.