Triple

T3083840
Position Surface form Disambiguated ID Type / Status
Subject Isabella E64321 entity
Predicate engagedTo P17846 FINISHED
Object Conrad E61629 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: Conrad | Statement: [Isabella, engagedTo, Conrad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Conrad
Context triple: [Isabella, engagedTo, Conrad]
  • A. Conrad chosen
    Conrad is a character in Horace Walpole’s pioneering Gothic novel "The Castle of Otranto," whose fate helps set the story’s dark and supernatural events in motion.
  • B. Conrad
    Conrad is a masculine given name of Germanic origin, commonly used in various European countries and the English-speaking world.
  • C. Kurtz
    Kurtz is a surname of German origin borne by various notable individuals across fields such as philosophy, literature, and entertainment.
  • D. Marlow
    Marlow is a historic English town on the River Thames in Buckinghamshire, known for its picturesque setting, suspension bridge, and literary associations.
  • E. Conrad the Younger
    Conrad the Younger was an 11th-century German nobleman and duke from the Salian dynasty who played a role in the early politics of the Holy Roman Empire.
  • 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1e877008190aacbd6f1357bdb9b completed March 8, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f89b650c8190983a00e37a42a794 completed March 11, 2026, 11:19 p.m.
Created at: March 8, 2026, 3:03 p.m.