Triple

T9869662
Position Surface form Disambiguated ID Type / Status
Subject Maria E239923 entity
Predicate fictionalUniverse P3758 FINISHED
Object West Side Story universe E40105 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: West Side Story universe | Statement: [Maria, fictionalUniverse, West Side Story universe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: West Side Story universe
Context triple: [Maria, fictionalUniverse, West Side Story universe]
  • A. West Side Story chosen
    West Side Story is a landmark American musical that reimagines Romeo and Juliet amid rival New York City street gangs, known for its innovative score, choreography, and social themes.
  • B. West Side
    West Side is a primarily residential neighborhood in Jersey City, New Jersey, known for its diverse community and proximity to Lincoln Park.
  • C. West Side
    West Side is a residential and commercial district of the city of Saint John, New Brunswick, located across the harbor from its historic uptown core.
  • D. West Side
    West Side is a residential neighborhood in Bridgeport, Connecticut, known for its urban character and diverse community.
  • E. West Side
    West Side is the western portion of the borough of Manhattan in New York City, known for neighborhoods like Chelsea, Hell’s Kitchen, and the Upper West Side along the Hudson River.
  • 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_69ca84e7506c819095cbde4ff16512bb completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3d498b481908f82f31f98b57c7e completed April 2, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e46209988190b97aefee6cbddbad completed April 5, 2026, 4:26 a.m.
Created at: March 30, 2026, 8:36 p.m.