Triple

T20697938
Position Surface form Disambiguated ID Type / Status
Subject Alpha Flight E508703 entity
Predicate member P10 FINISHED
Object Aurora
Aurora is a Canadian mutant superhero from Marvel Comics, known for her super-speed, light-based powers, and complex dual personality, and is a prominent member of the team Alpha Flight.
 E1445737 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: Aurora | Statement: [Alpha Flight, member, Aurora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aurora
Context triple: [Alpha Flight, member, Aurora]
  • A. Aurora
    Aurora is the sleeping princess from Disney's animated film "Sleeping Beauty," known for her grace, kindness, and iconic awakening by true love's kiss.
  • B. Aurora
    Aurora was a Russian protected cruiser famed for firing the symbolic shot that signaled the start of the October Revolution in 1917.
  • C. Aurora
    Aurora is a mystical and theosophical treatise by Jakob Böhme that explores the nature of God, creation, and spiritual rebirth through symbolic and visionary theology.
  • D. Aurora
    "Aurora" is a song by Björk from her 2001 album *Vespertine*, noted for its delicate, atmospheric sound and poetic lyrics.
  • E. Aurora
    Aurora is a Bolivian football club commonly known by its short name, Aurora.
  • 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: Aurora
Triple: [Alpha Flight, member, Aurora]
Generated description
Aurora is a Canadian mutant superhero from Marvel Comics, known for her super-speed, light-based powers, and complex dual personality, and is a prominent member of the team Alpha Flight.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aurora
Target entity description: Aurora is a Canadian mutant superhero from Marvel Comics, known for her super-speed, light-based powers, and complex dual personality, and is a prominent member of the team Alpha Flight.
  • A. Aurora
    Aurora is the sleeping princess from Disney's animated film "Sleeping Beauty," known for her grace, kindness, and iconic awakening by true love's kiss.
  • B. Aurora
    Aurora is a protected entity or realm under the guardianship of the being known as Fauna.
  • C. Aurora
    Aurora is a central character in Manuel Puig’s novel and its adaptations "Kiss of the Spider Woman," known as the glamorous, enigmatic film actress idolized and retold through the protagonist’s stories.
  • D. Aurora
    Aurora is a wealthy, technologically advanced Spacer world in Isaac Asimov’s Robot series, known for its robot-dependent society and pivotal role in the development of human-robot relations.
  • E. Aurora
    Aurora is a suburban town in central York Region, Ontario, known as an affluent residential community within the Greater Toronto Area.
  • 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_69e0b4c2b2a481909e31e9cb8f81ab55 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c1132178819081086e085f7b3ff8 completed April 21, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08d7e94aa08190973e4d4f36a7b6f0 completed May 16, 2026, 8:47 p.m.
NEDg Description generation batch_6a08d89983608190acb8f2b8b9483574 completed May 16, 2026, 8:50 p.m.
NED2 Entity disambiguation (via description) batch_6a08d9693acc8190acc75cbbf06b62da completed May 16, 2026, 8:54 p.m.
Created at: April 16, 2026, 12:11 p.m.