Triple

T11465967
Position Surface form Disambiguated ID Type / Status
Subject Romulus Linney E271779 entity
Predicate notableWork P4 FINISHED
Object Ambrosio E305416 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: [Romulus Linney, notableWork, Ambrosio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ambrosio
Context triple: [Romulus Linney, notableWork, Ambrosio]
  • A. Ambrosio chosen
    Ambrosio is the devout yet ultimately corrupt and tragic monastic protagonist of Matthew Gregory Lewis’s Gothic novel "The Monk."
  • B. Ambrogio
    Ambrogio is an Italian given name, historically borne by notable figures such as generals, artists, and saints.
  • C. Gervasio
    Gervasio is the given name of José Gervasio Artigas, the national hero and key independence leader of Uruguay.
  • D. 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."
  • E. Severiano
    Severiano is the given name of legendary Spanish golfer Seve Ballesteros, one of the most charismatic and successful figures in golf history.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d822f5eb988190b309b8e309f6d1a5 completed April 9, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e9377ff4819096971a77e0181eaf completed April 20, 2026, 8:52 a.m.
Created at: April 8, 2026, 9:35 p.m.