Triple

T22114629
Position Surface form Disambiguated ID Type / Status
Subject Ottone E546505 entity
Predicate orderedBy P4692 FINISHED
Object Nerone NE NERFINISHED

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: Nerone | Statement: [Ottone, orderedBy, Nerone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nerone
Context triple: [Ottone, orderedBy, Nerone]
  • A. Neron
    Neron is a powerful demon and major DC Comics supervillain who rules a hellish realm and bargains for souls in exchange for power.
  • B. Nero chosen
    Nero was a 1st-century Roman emperor best known for his tyrannical rule, persecution of Christians, and association with the Great Fire of Rome.
  • C. Nero
    Nero is the vengeful Romulan miner who serves as the primary antagonist in the 2009 Star Trek film reboot.
  • D. Nero
    Nero is one of Madame Medusa’s pet alligators and henchmen in Disney’s animated film “The Rescuers.”
  • E. Nero Julius Caesar
    Nero Julius Caesar was the eldest son of the Roman emperor Vespasian and an early heir of the Flavian dynasty who died before he could claim the throne.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e38b3848190ac3a4fa97d56e65a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1294c5f908190bdb1cce3cbf86d85 completed April 28, 2026, 9:40 p.m.
Created at: April 16, 2026, 8:31 p.m.