Triple

T16394697
Position Surface form Disambiguated ID Type / Status
Subject Conversation in the Cathedral E398148 entity
Predicate majorCharacter P12208 FINISHED
Object Ambrosio E1212485 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: Ambrosio | Statement: [Conversation in the Cathedral, majorCharacter, Ambrosio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ambrosio
Context triple: [Conversation in the Cathedral, majorCharacter, Ambrosio]
  • A. Ambrosio
    Ambrosio is the devout yet ultimately corrupt and tragic monastic protagonist of Matthew Gregory Lewis’s Gothic novel "The Monk."
  • B. Ambrosio chosen
    Ambrosio is the disillusioned former journalist and chauffeur whose conversation in a Lima bar drives the political and social critique at the heart of Mario Vargas Llosa’s novel "Conversación en La Catedral."
  • C. Ambrogio
    Ambrogio is an Italian given name, historically borne by notable figures such as generals, artists, and saints.
  • D. Gervasio
    Gervasio is the given name of José Gervasio Artigas, the national hero and key independence leader of Uruguay.
  • E. Severino
    Severino is one of the many given names of Charles Edward Stuart, the 18th-century Jacobite claimant to the British throne known as "Bonnie Prince Charlie."
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e3264538e4819082442d254accf392 completed April 18, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004579d9a88190b353952c5c301e9f completed May 10, 2026, 8:44 a.m.
Created at: April 10, 2026, 5:08 a.m.