Triple

T13473655
Position Surface form Disambiguated ID Type / Status
Subject Parseltongue E318191 entity
Predicate spokenBy P2181 FINISHED
Object Nagini E493487 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: Nagini | Statement: [Parseltongue, spokenBy, Nagini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nagini
Context triple: [Parseltongue, spokenBy, Nagini]
  • A. Nagini chosen
    Nagini is Voldemort’s loyal giant snake in the Harry Potter series, later revealed to be a cursed Maledictus and a key part of his dark power.
  • B. Nagini
    Nagini is a small village in India’s Tirthan Valley, known as a quiet base for exploring the surrounding Himalayan landscapes and the Great Himalayan National Park region.
  • C. Serpent
    Serpent is a symmetric block cipher designed as a highly secure, conservative candidate for the Advanced Encryption Standard (AES) competition.
  • D. Basilisk
    The Basilisk is a gigantic, deadly serpent from the Harry Potter series whose gaze can kill and whose venom is among the most lethal magical substances.
  • E. Mahishmati
    Mahishmati is a grand, fictional ancient Indian kingdom known as the central setting of the epic action film series "Baahubali."
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf2447bc81908baf1f4b55095144 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7462f94988190a857fa8cd32cdd0a completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:42 p.m.