Triple

T14711009
Position Surface form Disambiguated ID Type / Status
Subject Supergirl E345546 entity
Predicate relative P37 FINISHED
Object Alura
Alura is Supergirl’s Kryptonian mother, often depicted as a prominent scientist and leader on Krypton in DC Comics lore.
 E1115130 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: Alura | Statement: [Supergirl, relative, Alura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alura
Context triple: [Supergirl, relative, Alura]
  • A. Vidyaevo
    Vidyaevo is a closed naval settlement in Murmansk Oblast, Russia, known primarily as a major submarine base of the Russian Northern Fleet.
  • B. Alectura
    Alectura is a genus of large, ground-dwelling Australian birds in the megapode family, best known for the brush-turkey.
  • C. Mediona
    Mediona is a small municipality in Catalonia, Spain, known for its rural landscape, vineyards, and historic castles.
  • D. Letta
    Letta is an Italian surname most prominently associated with political figures such as Gianni Letta and former Prime Minister Enrico Letta.
  • E. Gurua
    Gurua is a town and administrative block in the Gaya district of Bihar, India, known for its rural economy and local governance role in the region.
  • 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: Alura
Triple: [Supergirl, relative, Alura]
Generated description
Alura is Supergirl’s Kryptonian mother, often depicted as a prominent scientist and leader on Krypton in DC Comics lore.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alura
Target entity description: Alura is Supergirl’s Kryptonian mother, often depicted as a prominent scientist and leader on Krypton in DC Comics lore.
  • A. Vidyaevo
    Vidyaevo is a closed naval settlement in Murmansk Oblast, Russia, known primarily as a major submarine base of the Russian Northern Fleet.
  • B. Alectura
    Alectura is a genus of large, ground-dwelling Australian birds in the megapode family, best known for the brush-turkey.
  • C. Mediona
    Mediona is a small municipality in Catalonia, Spain, known for its rural landscape, vineyards, and historic castles.
  • D. Letta
    Letta is an Italian surname most prominently associated with political figures such as Gianni Letta and former Prime Minister Enrico Letta.
  • E. Gurua
    Gurua is a town and administrative block in the Gaya district of Bihar, India, known for its rural economy and local governance role in the region.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb9814e0c8190984ac30d276499cc completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf08d59b48190a1ddd2aed6ed756e completed May 8, 2026, 2:17 p.m.
NEDg Description generation batch_69fdf2728df881909609d4e6177c7841 completed May 8, 2026, 2:25 p.m.
NED2 Entity disambiguation (via description) batch_69fdf30dab20819085589da4e869fb7e completed May 8, 2026, 2:28 p.m.
Created at: April 10, 2026, 1:28 a.m.