Triple

T20012129
Position Surface form Disambiguated ID Type / Status
Subject Demetrius E494613 entity
Predicate enchantedBy P46127 FINISHED
Object Oberon 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: Oberon | Statement: [Demetrius, enchantedBy, Oberon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oberon
Context triple: [Demetrius, enchantedBy, Oberon]
  • A. Oberon
    Oberon is one of Uranus's largest and outermost major moons, known for its heavily cratered, icy surface and dark, ancient terrain.
  • B. Oberon
    Oberon is a modular, type-safe systems programming language designed by Niklaus Wirth as a streamlined successor to Pascal and Modula-2, emphasizing simplicity and efficiency.
  • C. Oberon
    Oberon is a rural town in New South Wales, Australia, known for its cool climate, timber industry, and proximity to Jenolan Caves and the Blue Mountains.
  • D. Oberon
    Oberon is a performance venue in Cambridge, Massachusetts known for hosting innovative theater, music, and nightlife events associated with the American Repertory Theater.
  • E. Oberon chosen
    Oberon is the king of the fairies in Shakespeare’s comedy "A Midsummer Night’s Dream," known for his magical meddling in the romantic entanglements of mortals and sprites.
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6623773d88190826616a02d3c3e69 completed April 20, 2026, 5:28 p.m.
Created at: April 11, 2026, 3:34 p.m.