Triple

T182708
Position Surface form Disambiguated ID Type / Status
Subject Paul Nurse E3911 entity
Predicate hasGivenName P17 FINISHED
Object Paul E3700 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: Paul | Statement: [Paul Nurse, hasGivenName, Paul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul
Context triple: [Paul Nurse, hasGivenName, Paul]
  • A. Paul chosen
    Paul is a masculine given name of Latin origin, widely used in many Western and Christian-influenced cultures.
  • B. Apostle Paul
    Apostle Paul was an early Christian missionary and theologian whose letters form a significant portion of the New Testament and profoundly shaped Christian doctrine.
  • C. Stephanus
    Stephanus is the given first name of Paul Kruger, the prominent 19th-century Boer leader and president of the South African Republic.
  • D. Apostle Peter
    Apostle Peter was one of Jesus Christ’s closest disciples and a foundational leader of the early Christian Church, traditionally regarded as the first Pope.
  • E. Clement
    Clement is a given name of Latin origin meaning "merciful" or "gentle," historically borne by several popes and saints.
  • 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_69a25497e2f08190a040f8c6e1842643 completed Feb. 28, 2026, 2:36 a.m.
NER Named-entity recognition batch_69a2592516748190a85ae58eec191f14 completed Feb. 28, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69a338e55004819096a8cc1bfec7a225 completed Feb. 28, 2026, 6:50 p.m.
Created at: Feb. 28, 2026, 2:40 a.m.