Triple

T22299395
Position Surface form Disambiguated ID Type / Status
Subject Analeigh Tipton E551213 entity
Predicate notableWork P4 FINISHED
Object Manhattan Love Story NE NERFINISHED

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: Manhattan Love Story | Statement: [Analeigh Tipton, notableWork, Manhattan Love Story]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manhattan Love Story
Context triple: [Analeigh Tipton, notableWork, Manhattan Love Story]
  • A. Manhattan Love Story chosen
    Manhattan Love Story is a short-lived American romantic comedy television series that follows the dating lives and inner thoughts of a young couple in New York City.
  • B. Manhattan Woman
    "Manhattan Woman" is the B-side track to the song "In the Navy" by the disco group Village People.
  • C. Maid in Manhattan
    Maid in Manhattan is a 2002 romantic comedy film in which Jennifer Lopez stars as a hotel maid who unexpectedly falls in love with a wealthy politician.
  • D. Mad Love in New York City
    Mad Love in New York City is a memoir by Arielle Holmes recounting her experiences of homelessness, addiction, and tumultuous romance on the streets of New York City.
  • E. Love in the Big City
    Love in the Big City is a popular Russian-Ukrainian romantic comedy film known for its lighthearted take on modern relationships and urban life.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e45fb848190a1b2ae21296e3a5f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15722c3348190b63eb49764ef132d completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:41 p.m.