Triple

T6788100
Position Surface form Disambiguated ID Type / Status
Subject Pilate Stone E155862 entity
Predicate associatedWith P37 FINISHED
Object Tiberius E9795 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: Tiberius | Statement: [Pilate Stone, associatedWith, Tiberius]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiberius
Context triple: [Pilate Stone, associatedWith, Tiberius]
  • A. Tiberius chosen
    Tiberius was the second Roman emperor, ruling from AD 14 to 37, known for his capable early administration and later reclusive, often harsh governance.
  • B. Tiberius Claudius Nero
    Tiberius Claudius Nero was a Roman nobleman and politician of the late Republic, best known as the father of the future emperor Tiberius and the first husband of Livia Drusilla.
  • C. Claudi
    Claudi is a given name, typically a variant or shortened form of names like Claudiu or Claudia used in various European languages.
  • D. Vespasian
    Vespasian was a 1st-century Roman emperor best known for restoring stability after Nero’s reign and initiating major building projects such as the Colosseum.
  • E. Horace Titus
    Horace Titus was a son of the famed cosmetics entrepreneur Helena Rubinstein, who became known primarily through his connection to her influential legacy in the beauty industry.
  • 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_69c6881770fc8190972b2906390380f5 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2aa2e0c8190b994261826ae001d completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723cc35cc8190b5affdfd363171ba completed March 28, 2026, 12:41 a.m.
Created at: March 27, 2026, 2:14 p.m.