Triple

T16036284
Position Surface form Disambiguated ID Type / Status
Subject Hainish Cycle E388976 entity
Predicate featuresPlanet P7294 FINISHED
Object Terra
Terra is the Earth-analog human homeworld that serves as a central setting and cultural reference point in Ursula K. Le Guin’s Hainish Cycle of science fiction works.
 E1193383 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: Terra | Statement: [Hainish Cycle, featuresPlanet, Terra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Terra
Context triple: [Hainish Cycle, featuresPlanet, Terra]
  • A. Terra
    Terra is a sustainability-themed character created as one of the official mascots for Expo 2020 Dubai, symbolizing environmental awareness and ecological responsibility.
  • B. Terra
    Terra is a character from the film "I, Frankenstein," depicted as a central figure within its dark, supernatural world of gargoyles and demons.
  • C. Terra
    Terra is a fictional character best known as the troubled, earth-controlling teen superheroine from DC Comics' Teen Titans franchise.
  • D. Erda
    Erda is the earth goddess and prophetic figure in Richard Wagner’s Ring Cycle, renowned for her wisdom and warnings to the gods.
  • E. La Terre
    La Terre is a naturalist novel by Émile Zola that portrays the brutal lives, struggles, and moral decay of French peasants in the 19th century countryside.
  • 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: Terra
Triple: [Hainish Cycle, featuresPlanet, Terra]
Generated description
Terra is the Earth-analog human homeworld that serves as a central setting and cultural reference point in Ursula K. Le Guin’s Hainish Cycle of science fiction works.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Terra
Target entity description: Terra is the Earth-analog human homeworld that serves as a central setting and cultural reference point in Ursula K. Le Guin’s Hainish Cycle of science fiction works.
  • A. Terra
    Terra is a sustainability-themed character created as one of the official mascots for Expo 2020 Dubai, symbolizing environmental awareness and ecological responsibility.
  • B. Terra
    Terra is a character from the film "I, Frankenstein," depicted as a central figure within its dark, supernatural world of gargoyles and demons.
  • C. Terra
    Terra is a fictional character best known as the troubled, earth-controlling teen superheroine from DC Comics' Teen Titans franchise.
  • D. Erda
    Erda is the earth goddess and prophetic figure in Richard Wagner’s Ring Cycle, renowned for her wisdom and warnings to the gods.
  • E. La Terre
    La Terre is a naturalist novel by Émile Zola that portrays the brutal lives, struggles, and moral decay of French peasants in the 19th century countryside.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1833ca66881909475fac23e6fbf86 completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe474f89c819086db832b793c15ed completed May 10, 2026, 1:50 a.m.
NEDg Description generation batch_69ffe5a4edfc8190831ddf8a4601764e completed May 10, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_69ffe687c204819092a4a8de0b9d624d completed May 10, 2026, 1:59 a.m.
Created at: April 10, 2026, 4:56 a.m.