Triple

T1799488
Position Surface form Disambiguated ID Type / Status
Subject Foundation and Earth E39681 entity
Predicate hasSetting P3538 FINISHED
Object Gaia (fictional planet)
Gaia is a sentient, group-conscious planet in Isaac Asimov’s science fiction universe, most prominently featured in the novel "Foundation and Earth."
 E201010 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: Gaia (fictional planet) | Statement: [Foundation and Earth, hasSetting, Gaia (fictional planet)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gaia (fictional planet)
Context triple: [Foundation and Earth, hasSetting, Gaia (fictional planet)]
  • A. Mondas
    Mondas is the fictional twin planet of Earth in the Doctor Who universe, known as the original home of the Cybermen.
  • B. Gaia
    Gaia is the primordial Greek earth goddess, revered as the ancestral mother of all life and the personification of the Earth itself.
  • C. Sera
    Sera is a given name, often used as a variant of Sara or Sarah in various cultures.
  • D. The Green Planet
    The Green Planet is a BBC nature documentary series that explores the hidden life, behavior, and ecological importance of plants around the world.
  • E. Adrestia
    Adrestia is a lesser-known Greek goddess associated with revolt, retribution, and the balance between war and peace.
  • 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: Gaia (fictional planet)
Triple: [Foundation and Earth, hasSetting, Gaia (fictional planet)]
Generated description
Gaia is a sentient, group-conscious planet in Isaac Asimov’s science fiction universe, most prominently featured in the novel "Foundation and Earth."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gaia (fictional planet)
Target entity description: Gaia is a sentient, group-conscious planet in Isaac Asimov’s science fiction universe, most prominently featured in the novel "Foundation and Earth."
  • A. Mondas
    Mondas is the fictional twin planet of Earth in the Doctor Who universe, known as the original home of the Cybermen.
  • B. Gaia
    Gaia is the primordial Greek earth goddess, revered as the ancestral mother of all life and the personification of the Earth itself.
  • C. Sera
    Sera is a given name, often used as a variant of Sara or Sarah in various cultures.
  • D. The Green Planet
    The Green Planet is a BBC nature documentary series that explores the hidden life, behavior, and ecological importance of plants around the world.
  • E. Adrestia
    Adrestia is a lesser-known Greek goddess associated with revolt, retribution, and the balance between war and peace.
  • 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_69a88632aa588190ba3978fde0db5bbd completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa6569b2e48190a56cf48160796d2e completed March 6, 2026, 5:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5d8da888190a88f3bd8036e19f4 completed March 8, 2026, 5:46 p.m.
NEDg Description generation batch_69adb69c149081908b5b819c068a1ce2 completed March 8, 2026, 5:49 p.m.
NED2 Entity disambiguation (via description) batch_69adb8be528c819092a5e22b099fc2a0 completed March 8, 2026, 5:58 p.m.
Created at: March 4, 2026, 7:32 p.m.