Triple

T15548266
Position Surface form Disambiguated ID Type / Status
Subject Berdichev E370669 entity
Predicate hasNotableResident P1092 FINISHED
Object Joseph Conrad E83816 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: Joseph Conrad | Statement: [Berdichev, hasNotableResident, Joseph Conrad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph Conrad
Context triple: [Berdichev, hasNotableResident, Joseph Conrad]
  • A. Joseph Conrad chosen
    Joseph Conrad was a Polish-British novelist renowned for his psychologically complex, morally ambiguous sea tales and modernist works such as "Heart of Darkness" and "Lord Jim."
  • B. A. R. Simoun
    A. R. Simoun is a screenwriter best known for his work on the horror film "The Serpent and the Rainbow."
  • C. Sir Henry James
    Sir Henry James was a prominent 19th-century British barrister and Liberal politician who became renowned for his courtroom advocacy and later service as Attorney General and Lord Chancellor.
  • D. Paul Hymans
    Paul Hymans was a Belgian statesman and diplomat who played a key role in the founding of the League of Nations and served as one of its early presidents.
  • E. Jack London
    Jack London was an American novelist and short-story writer best known for adventure classics such as "The Call of the Wild" and "White Fang."
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a93121881909d88ca55a39252ac completed April 16, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff455c172c8190833274cb98667e84 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 4:08 a.m.