Triple

T16091214
Position Surface form Disambiguated ID Type / Status
Subject Jagjit Singh Aurora E390360 entity
Predicate familyName P18 FINISHED
Object Aurora
Aurora is a surname of Indian origin borne by various notable individuals, including military leaders and public figures.
 E1194778 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: [Jagjit Singh Aurora, familyName, Aurora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aurora
Context triple: [Jagjit Singh Aurora, familyName, 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: [Jagjit Singh Aurora, familyName, Aurora]
Generated description
Aurora is a surname of Indian origin borne by various notable individuals, including military leaders and public figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aurora
Target entity description: Aurora is a surname of Indian origin borne by various notable individuals, including military leaders and public figures.
  • A. Aurora
    Aurora is a feminine given name of Latin origin meaning "dawn," famously borne by figures in mythology, royalty, and popular culture.
  • B. Aurora
    Aurora was a common Filipino female given name in the early 20th century, notably borne by Aurora Aragon Quezon, the First Lady of the Philippines.
  • C. Aurora
    Aurora is a Bolivian football club commonly known by its short name, Aurora.
  • D. Aurora
    Aurora is the Roman goddess of the dawn, who renews herself each morning and announces the arrival of the sun.
  • E. Aurora
    Aurora is a celebrated Baroque fresco by Italian painter Guido Reni, renowned for its graceful depiction of the goddess of dawn leading Apollo’s chariot across the sky.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1858d1264819099434d7201614d05 completed April 17, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb9550f0819092660f6c4b0d708e completed May 10, 2026, 2:21 a.m.
NEDg Description generation batch_69ffed526eac8190968a19738ab019e7 completed May 10, 2026, 2:28 a.m.
NED2 Entity disambiguation (via description) batch_69ffedda25fc8190b9eef3e7752f95f5 completed May 10, 2026, 2:30 a.m.
Created at: April 10, 2026, 4:59 a.m.