Triple

T13260203
Position Surface form Disambiguated ID Type / Status
Subject Romulan E315771 entity
Predicate notableCharacter P1481 FINISHED
Object Nero E115970 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: Nero | Statement: [Romulan, notableCharacter, Nero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nero
Context triple: [Romulan, notableCharacter, Nero]
  • A. Nero
    Nero is one of Madame Medusa’s pet alligators and henchmen in Disney’s animated film “The Rescuers.”
  • B. Nero chosen
    Nero is the vengeful Romulan miner who serves as the primary antagonist in the 2009 Star Trek film reboot.
  • C. Nero
    Nero was a 1st-century Roman emperor best known for his tyrannical rule, persecution of Christians, and association with the Great Fire of Rome.
  • D. 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.
  • E. Caligula
    Caligula was a first-century Roman emperor infamous for his autocratic rule, extravagance, and accounts of cruelty and madness.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f778088819082b8a596c04bfe02 completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a20a5ec8190bc054b3d7cae003b completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:25 p.m.