Triple

T17685786
Position Surface form Disambiguated ID Type / Status
Subject Guiron E440883 entity
Predicate homeworld P2102 FINISHED
Object Terra
Terra is a fictional planet often depicted in science fiction and fantasy as a primary human-inhabited world or central setting.
 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: [Guiron, homeworld, Terra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Terra
Context triple: [Guiron, homeworld, 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. 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.
  • E. Terra
    Terra is a NASA Earth-observing satellite that carries instruments to monitor the planet’s atmosphere, land, and oceans for climate and environmental research.
  • 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: [Guiron, homeworld, Terra]
Generated description
Terra is a fictional planet often depicted in science fiction and fantasy as a primary human-inhabited world or central setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Terra
Target entity description: Terra is a fictional planet often depicted in science fiction and fantasy as a primary human-inhabited world or central setting.
  • 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. Terra chosen
    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.
  • E. Terra
    Terra is a NASA Earth-observing satellite that carries instruments to monitor the planet’s atmosphere, land, and oceans for climate and environmental research.
  • 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47047d90c8190a172201f3de6db87 completed April 19, 2026, 6:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0230189290819087d80b8c447bbf08 completed May 11, 2026, 7:38 p.m.
NEDg Description generation batch_6a023111b1e4819088c9c7f499a73c5e completed May 11, 2026, 7:42 p.m.
NED2 Entity disambiguation (via description) batch_6a02317519948190a2c3f1edc7c1a163 completed May 11, 2026, 7:43 p.m.
Created at: April 10, 2026, 10:02 a.m.