Triple

T10163042
Position Surface form Disambiguated ID Type / Status
Subject Cornelius E233935 entity
Predicate hasPraenomen P6662 FINISHED
Object Gaius E535884 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: Gaius | Statement: [Cornelius, hasPraenomen, Gaius]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gaius
Context triple: [Cornelius, hasPraenomen, Gaius]
  • A. Gaius
    Gaius is an early Christian believer and church member addressed personally and commended by the Apostle John in the New Testament.
  • B. Gaius
    Gaius was a prominent 2nd-century Roman jurist whose legal writings, especially his Institutes, significantly shaped later Roman and European legal traditions.
  • C. Gaius
    Gaius is the praenomen (personal name) of the Roman lawyer, author, and magistrate known as Pliny the Younger.
  • D. Gaius chosen
    Gaius is a common Roman praenomen (given name) frequently borne by notable figures of the Roman Republic and Empire.
  • E. Caius
    Caius is one of the three ancient vampire rulers of the Volturi coven in the Twilight series, known for his cruelty and strict enforcement of vampire law.
  • 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_69ca848e80748190b91d1e04d35512c7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec5b5194819095645e9174897b0f completed April 2, 2026, 4:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d90d54c32c8190b175a30c7c905cd2 completed April 10, 2026, 2:46 p.m.
Created at: March 30, 2026, 9:09 p.m.