Triple

T15530866
Position Surface form Disambiguated ID Type / Status
Subject Sarah Ramos E370210 entity
Predicate appearedIn P795 FINISHED
Object How to Be Single E738899 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: How to Be Single | Statement: [Sarah Ramos, appearedIn, How to Be Single]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: How to Be Single
Context triple: [Sarah Ramos, appearedIn, How to Be Single]
  • A. How to Be Single chosen
    How to Be Single is a 2016 romantic comedy film that follows several interconnected women navigating love, dating, and independence in New York City.
  • B. How to Be Alone
    How to Be Alone is a collection of personal and political essays by Jonathan Franzen that explores themes of solitude, reading, and the impact of contemporary culture on private life.
  • C. How to Be Both
    How to Be Both is an innovative, genre-blending novel by Ali Smith that intertwines two narratives across time and can be read in multiple orders, exploring themes of art, grief, and identity.
  • D. I’m Single
    "I’m Single" is a track by Lil Wayne from his album *I Am Not a Human Being*, known for its moody production and introspective lyrics about relationships and fame.
  • E. The Single Guy
    The Single Guy is an American sitcom that aired in the mid-1990s, following the misadventures of a young bachelor navigating life and relationships in New York City.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e0414773548190b3311515f9d957dd completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d5b989c8190a76612df167ba1dd completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 4:06 a.m.