Triple

T12277847
Position Surface form Disambiguated ID Type / Status
Subject Madame Medusa E292636 entity
Predicate ally P4662 FINISHED
Object Nero
Nero is one of Madame Medusa’s pet alligators and henchmen in Disney’s animated film “The Rescuers.”
 E976220 NE FINISHED

How this triple was built (4 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: [Madame Medusa, ally, Nero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nero
Context triple: [Madame Medusa, ally, Nero]
  • A. Nero
    Nero is the vengeful Romulan miner who serves as the primary antagonist in the 2009 Star Trek film reboot.
  • B. 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.
  • C. 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.
  • D. Caligula
    Caligula was a first-century Roman emperor infamous for his autocratic rule, extravagance, and accounts of cruelty and madness.
  • E. Galba
    Galba was a Roman general and statesman who briefly ruled as emperor during the tumultuous Year of the Four Emperors following Nero’s death.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nero
Triple: [Madame Medusa, ally, Nero]
Generated description
Nero is one of Madame Medusa’s pet alligators and henchmen in Disney’s animated film “The Rescuers.”
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nero
Target entity description: Nero is one of Madame Medusa’s pet alligators and henchmen in Disney’s animated film “The Rescuers.”
  • A. 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.
  • B. Nero
    Nero is the vengeful Romulan miner who serves as the primary antagonist in the 2009 Star Trek film reboot.
  • C. 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.
  • D. Caligula
    Caligula was a first-century Roman emperor infamous for his autocratic rule, extravagance, and accounts of cruelty and madness.
  • E. Galba
    Galba was a Roman general and statesman who briefly ruled as emperor during the tumultuous Year of the Four Emperors following Nero’s death.
  • F. None of above. chosen

Provenance (5 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cf06cf08190ac8671dd9bbed03d completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e6d72d081908c8697257df712f1 completed May 2, 2026, 3:55 p.m.
NEDg Description generation batch_69f620759f348190baa9af5b33d4e37f completed May 2, 2026, 4:04 p.m.
NED2 Entity disambiguation (via description) batch_69f624bf23948190b182e4c31564d210 completed May 2, 2026, 4:22 p.m.
Created at: April 8, 2026, 9:52 p.m.