Triple

T1630420
Position Surface form Disambiguated ID Type / Status
Subject Conrad Black E35243 entity
Predicate givenName P17 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: [Conrad Black, givenName, Conrad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Conrad
Context triple: [Conrad Black, givenName, 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. Kurtz
    Kurtz is a surname of German origin borne by various notable individuals across fields such as philosophy, literature, and entertainment.
  • C. Marlow
    Marlow is a historic English town on the River Thames in Buckinghamshire, known for its picturesque setting, suspension bridge, and literary associations.
  • D. Conrad Will
    Conrad Will was an early 19th-century American pioneer, politician, and businessman in Illinois, recognized as a prominent figure in the state's formative years.
  • E. James Crabe
    James Crabe was an American cinematographer best known for his work on influential films of the 1970s and 1980s, including the original Rocky.
  • 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_69a886036bc081909ff5de16dbe5e8ea completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb3a9b634819086b44f1574e97dcb completed March 7, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58d5acd8819090c51678ce0f63f0 completed March 8, 2026, 11:09 a.m.
Created at: March 4, 2026, 7:28 p.m.