Triple

T16380260
Position Surface form Disambiguated ID Type / Status
Subject Talia Balsam E397786 entity
Predicate notableWork P4 FINISHED
Object Little Manhattan E352291 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 Manhattan | Statement: [Talia Balsam, notableWork, Little Manhattan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Little Manhattan
Context triple: [Talia Balsam, notableWork, Little Manhattan]
  • A. Little Manhattan chosen
    Little Manhattan is a 2005 romantic comedy film about a young boy’s first experience with love in New York City.
  • B. Uptown Manhattan
    Uptown Manhattan is the northern section of Manhattan in New York City, encompassing neighborhoods such as Washington Heights, Inwood, and Fort George, and known for its diverse communities and proximity to major parks and institutions.
  • C. Mainhattan
    Mainhattan is the nickname for Frankfurt am Main’s modern high-rise financial district, whose dense skyline evokes comparisons to Manhattan.
  • D. Manhattan by the Harlem River
    Manhattan by the Harlem River refers to the northeastern edge of Manhattan Island in New York City, bordering the Harlem River opposite Randall’s Island.
  • E. Old New York
    Old New York is a collection of four novellas by Edith Wharton that portray the manners, morals, and social constraints of New York’s upper class in the late 19th century.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e319db5b648190a8fca23518a1fb39 completed April 18, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0035689ef08190ba980a359498ca56 completed May 10, 2026, 7:36 a.m.
Created at: April 10, 2026, 5:08 a.m.