Triple

T4323729
Position Surface form Disambiguated ID Type / Status
Subject The Lover in Me E96582 entity
Predicate hasPart P35 FINISHED
Object Still in Love E342972 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: Still in Love | Statement: [The Lover in Me, hasPart, Still in Love]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Still in Love
Context triple: [The Lover in Me, hasPart, Still in Love]
  • A. Still in Love chosen
    "Still in Love" is an R&B song by American singer-songwriter Brian McKnight, showcasing his smooth vocals and romantic ballad style.
  • B. Stuck in Love
    Stuck in Love is a 2012 romantic comedy-drama film that follows a dysfunctional family of writers as they navigate love, heartbreak, and reconciliation over the course of a year.
  • C. I Stay in Love
    "I Stay in Love" is a pop and R&B ballad by Mariah Carey, released as a single from her album E=MC².
  • D. Lost in Love
    "Lost in Love" is a song by the American R&B group New Edition, showcasing their signature harmonies and romantic ballad style.
  • E. The One I Love
    The One I Love is a 2014 American surreal romantic dramedy film starring Mark Duplass and Elisabeth Moss, centered on a troubled couple whose weekend retreat takes an unexpectedly bizarre turn.
  • 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_69b345422aac81909ddbadae437d122e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35118abe481908b7987019be217e1 completed March 12, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d094f5fc819083eddc234f46f6a1 completed March 14, 2026, 9:18 p.m.
Created at: March 12, 2026, 11:13 p.m.