Triple

T17999977
Position Surface form Disambiguated ID Type / Status
Subject Yvonne Elliman E430601 entity
Predicate notableWork P4 FINISHED
Object Love Me 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: Love Me | Statement: [Yvonne Elliman, notableWork, Love Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Love Me
Context triple: [Yvonne Elliman, notableWork, Love Me]
  • A. Love Me chosen
    "Love Me" is a creative work, likely a song or film, recognized as a notable part of an artist's or creator's body of work.
  • B. You Love Me
    "You Love Me" is a pop song produced by Jesse Shatkin, known for its polished production and emotionally charged, radio-friendly sound.
  • C. Let Me Love You
    "Let Me Love You" is a mid-tempo R&B-influenced pop song by Ariana Grande featuring rapper Lil Wayne from her album *Dangerous Woman*.
  • D. Let Me Love You
    "Let Me Love You" is a song featured on Pusha T's debut studio album "My Name Is My Name."
  • E. Let Me Love You
    "Let Me Love You" is a 2016 EDM-pop song by DJ Snake featuring Justin Bieber that became a global hit for its catchy melody and emotional lyrics.
  • 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b3e75e908190a6ff6a3ec6069ff5 completed April 19, 2026, 10:52 a.m.
Created at: April 10, 2026, 10:23 a.m.