Triple

T3170118
Position Surface form Disambiguated ID Type / Status
Subject Lover E66308 entity
Predicate firstAppearanceInFilm P17193 FINISHED
Object Love Me Tonight E96973 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: Love Me Tonight | Statement: [Lover, firstAppearanceInFilm, Love Me Tonight]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Love Me Tonight
Context triple: [Lover, firstAppearanceInFilm, Love Me Tonight]
  • A. Love Me Tonight chosen
    Love Me Tonight is a 1932 pre-Code musical comedy film starring Maurice Chevalier and Jeanette MacDonald, celebrated for its innovative use of sound and song integration in early Hollywood cinema.
  • B. Love Me Now
    "Love Me Now" is a pop-R&B song by John Legend known for its uplifting message about cherishing love in the present moment.
  • C. Let Me Love You
    "Let Me Love You" is a song featured on Pusha T's debut studio album "My Name Is My Name."
  • D. Tonight I Celebrate My Love
    "Tonight I Celebrate My Love" is a romantic ballad best known for its duet performance by Peabo Bryson and Roberta Flack, which became a popular love song in the early 1980s.
  • E. Please Love Me
    "Please Love Me" is a blues song popularized by B.B. King, showcasing his expressive guitar work and emotive vocal style.
  • 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_69ad8585d7988190af37365331093ccd completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada64917e08190bf0466d2c5e43790 completed March 8, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24b66b3e081908e8ea11d9b36e50a completed March 12, 2026, 5:13 a.m.
Created at: March 8, 2026, 3:06 p.m.