Triple

T9462487
Position Surface form Disambiguated ID Type / Status
Subject Oshtur E228182 entity
Predicate associatedWith P37 FINISHED
Object Hoggoth E744527 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: Hoggoth | Statement: [Oshtur, associatedWith, Hoggoth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoggoth
Context triple: [Oshtur, associatedWith, Hoggoth]
  • A. Hastur chosen
    Hastur is a mysterious and often malevolent Great Old One in the Cthulhu Mythos, associated with madness, forbidden knowledge, and the eerie city of Carcosa.
  • B. Thargelion
    Thargelion was a spring month in the ancient Attic calendar, roughly corresponding to parts of May and June in the modern Gregorian calendar.
  • C. Oger
    Oger is a renowned Champagne-producing village in France’s Côte des Blancs, celebrated for its high-quality Chardonnay vineyards and prestigious Grand Cru status.
  • D. Horriwil
    Horriwil is a small Swiss municipality located in the canton of Solothurn.
  • E. Shuma-Gorath
    Shuma-Gorath is an ancient, godlike, tentacled demon from Marvel Comics known for its immense mystical power and frequent clashes with Doctor Strange.
  • 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_69ca846fee388190a6ec273fd644b88b completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fcd9794819093c392489d4efbe9 completed April 1, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12ce37efc81908eee5dd709a574fb completed April 4, 2026, 3:23 p.m.
Created at: March 30, 2026, 7:53 p.m.