Triple

T3204703
Position Surface form Disambiguated ID Type / Status
Subject Miss You Much E67132 entity
Predicate hasBside P15273 FINISHED
Object You Need Me E143904 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: You Need Me | Statement: [Miss You Much, hasBside, You Need Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: You Need Me
Context triple: [Miss You Much, hasBside, You Need Me]
  • A. You Need Me chosen
    "You Need Me" is a song by Mariah Carey from her self-titled debut album, showcasing her early pop and R&B style and vocal prowess.
  • B. I Need You
    "I Need You" is a song featured on the album "As I Am," likely contributing to the record's emotional and musical themes.
  • C. I Need More
    "I Need More" is a track from The Wallflowers' 2012 album "Glad All Over."
  • D. I Need My Girl
    "I Need My Girl" is a melancholic indie rock song by The National, known for its introspective lyrics and atmospheric, emotionally resonant sound.
  • E. I Know What You Need
    "I Know What You Need" is a psychological horror short story by Stephen King about a college student who discovers the dark, supernatural source of her seemingly perfect boyfriend’s ability to anticipate her desires.
  • 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_69ad8589bd988190afa7ed2bdffb7b33 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaa54124c8190a22089ce2eaedab5 completed March 8, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24bcbb0e88190b4413c4ba3de0eeb completed March 12, 2026, 5:14 a.m.
Created at: March 8, 2026, 3:07 p.m.