Triple

T8320882
Position Surface form Disambiguated ID Type / Status
Subject Gregor E194828 entity
Predicate shortFormOf P43 FINISHED
Object Gregorius E620698 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: Gregorius | Statement: [Gregor, shortFormOf, Gregorius]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gregorius
Context triple: [Gregor, shortFormOf, Gregorius]
  • A. Gregorius chosen
    Gregorius was a Roman jurist traditionally credited with compiling the Codex Gregorianus, one of the earliest systematic collections of imperial legal constitutions.
  • B. Laurentius
    Laurentius is a Latin given name historically borne by several early Christian saints and later adapted into various European forms such as Laurence and Lawrence.
  • C. Franciscus
    Franciscus is the Latinized given name of the renowned Dutch primatologist and ethologist Frans de Waal.
  • D. Marianus
    Marianus is a Latin personal name, historically used in the Roman world and later in various European cultures, derived from the root name Marian.
  • E. Clemens Romanus
    Clemens Romanus, better known as Clement of Rome, was a first-century Christian leader traditionally regarded as one of the earliest popes and the author of an influential letter to the Corinthians.
  • 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_69ca82e7a8a88190a32bb5cc0feb012d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f67aee88190b245f8d6e57a40b2 completed March 31, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc6fee5dc8190b2de22d210884e51 completed April 2, 2026, 1:31 a.m.
Created at: March 30, 2026, 5:55 p.m.