Triple

T15059816
Position Surface form Disambiguated ID Type / Status
Subject Charlie (Mean Streets) E379594 entity
Predicate settingNeighborhood P988 FINISHED
Object Little Italy E52416 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: Little Italy | Statement: [Charlie (Mean Streets), settingNeighborhood, Little Italy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Little Italy
Context triple: [Charlie (Mean Streets), settingNeighborhood, Little Italy]
  • A. Little Italy
    Little Italy is a historic Baltimore neighborhood known for its Italian-American heritage, family-owned restaurants, and vibrant cultural festivals.
  • B. Little Italy
    Little Italy is a historic Cleveland neighborhood known for its Italian-American heritage, restaurants, and cultural festivals.
  • C. Little Italy
    Little Italy is a vibrant Ottawa neighbourhood known for its Italian heritage, restaurants, cafés, and annual cultural festivals.
  • D. Little Italy
    Little Italy is a historic Chicago neighborhood known for its Italian-American heritage, traditional restaurants, and proximity to the University of Illinois at Chicago.
  • E. Little Italy, Manhattan chosen
    Little Italy, Manhattan is a historic New York City neighborhood known for its Italian-American heritage, traditional restaurants, and annual cultural festivals.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedee50afc8190bf7b0f4bbe8c60a3 completed April 15, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5c2fcec8190800d1bda82c7352e completed May 9, 2026, 3:10 a.m.
Created at: April 10, 2026, 3:01 a.m.