Triple

T9548540
Position Surface form Disambiguated ID Type / Status
Subject Richard Conte E230358 entity
Predicate role P268 FINISHED
Object Martin Rome in Cry of the City E658659 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: Martin Rome in Cry of the City | Statement: [Richard Conte, role, Martin Rome in Cry of the City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin Rome in Cry of the City
Context triple: [Richard Conte, role, Martin Rome in Cry of the City]
  • A. Carmine Rocco
    Carmine Rocco was an Italian Roman Catholic prelate and Vatican diplomat who served as an apostolic nuncio in several countries during the 20th century.
  • B. Quai Papacino
    Quai Papacino is a waterfront quay in the Port of Nice on the French Riviera, known for its moored boats and proximity to the city’s historic center.
  • C. Det. Johnny Corso chosen
    Det. Johnny Corso is a fictional New York City police detective character associated with the NYPD in crime and detective storytelling.
  • D. Albert Falco
    Albert Falco was a renowned French diver, underwater cameraman, and longtime chief diver for Jacques Cousteau’s expeditions.
  • E. Paul Sciarra
    Paul Sciarra is an American entrepreneur best known as a co-founder of the visual discovery and bookmarking platform Pinterest.
  • 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_69ca847c70b8819088a0a0bad64a50d6 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99059138819088ae54b26df979cf completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c7be5008190a16036525fd9059e completed April 4, 2026, 5:38 p.m.
Created at: March 30, 2026, 8:02 p.m.