Triple

T6101210
Position Surface form Disambiguated ID Type / Status
Subject Nick Bottom E135998 entity
Predicate interactsWith P3970 FINISHED
Object Titania E117406 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: Titania | Statement: [Nick Bottom, interactsWith, Titania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Titania
Context triple: [Nick Bottom, interactsWith, Titania]
  • A. Titania chosen
    Titania is the largest of Uranus's moons, an icy, heavily cratered satellite discovered by William Herschel in 1787.
  • B. 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.
  • C. 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.
  • D. Oberon
    Oberon is one of Uranus's largest and outermost major moons, known for its heavily cratered, icy surface and dark, ancient terrain.
  • E. Oberon
    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 (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_69c0087dee9881909e3655be88208c01 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b3aa9908190865be98ada141d37 completed March 22, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c518d771408190bcff32f692c2b9fd completed March 26, 2026, 11:30 a.m.
Created at: March 22, 2026, 4:13 p.m.