Triple

T20186437
Position Surface form Disambiguated ID Type / Status
Subject Forbidden Forest E492872 entity
Predicate contains P35 FINISHED
Object Acromantulas NE NERFINISHED

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: Acromantulas | Statement: [Forbidden Forest, contains, Acromantulas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Acromantulas
Context triple: [Forbidden Forest, contains, Acromantulas]
  • A. Acromantulas chosen
    Acromantulas are giant, highly intelligent, venomous spiders from the Harry Potter universe, known for their human speech, dark forest habitats, and dangerous hostility toward wizards.
  • B. Tarantul
    Tarantul is the NATO reporting name for a class of small, fast Soviet/Russian missile corvettes designed primarily for coastal defense and anti-ship warfare.
  • C. 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.
  • D. Tarántula
    Tarántula is a spinning roller coaster at Madrid’s Parque de Atracciones known for its tight turns and disorienting, free-rotating cars.
  • E. Lavalantula
    Lavalantula is a 2015 made-for-television science fiction horror film about giant fire-breathing tarantulas attacking Los Angeles.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ad143c48190b9d52c331e8101d6 completed April 20, 2026, 6:05 p.m.
Created at: April 11, 2026, 11:36 p.m.