Triple

T10105704
Position Surface form Disambiguated ID Type / Status
Subject Alectura E216314 entity
Predicate commonName P570 FINISHED
Object Alectura E216314 NE FINISHED

How this triple was built (2 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: Alectura | Statement: [Alectura, commonName, Alectura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alectura
Context triple: [Alectura, commonName, Alectura]
  • A. Alectura chosen
    Alectura is a genus of large, ground-dwelling Australian birds in the megapode family, best known for the brush-turkey.
  • B. Letta
    Letta is an Italian surname most prominently associated with political figures such as Gianni Letta and former Prime Minister Enrico Letta.
  • C. Leandoer
    Leandoer is an alias of Swedish rapper, singer, and songwriter Yung Lean, known for pioneering the cloud rap and sad rap scenes.
  • D. Denkard
    Denkard is a 9th–10th century encyclopedic compendium of Zoroastrian religious texts, traditions, and theological commentary written in Middle Persian.
  • E. Rackham
    Rackham is the surname of Arthur Rackham, the renowned English book illustrator celebrated for his distinctive, fantastical artwork in early 20th-century children’s literature and fairy tales.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca83d039f08190b9d10363221c69fb completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd09dde888190bb550a3cd0b204fe completed April 2, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc0572e08190a8ef4d620ac27d88 completed April 5, 2026, 8:54 p.m.
Created at: March 30, 2026, 9:03 p.m.