Triple

T20334620
Position Surface form Disambiguated ID Type / Status
Subject Another Level E492573 entity
Predicate includesSong P7178 FINISHED
Object I Wanna Be Your Man 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: I Wanna Be Your Man | Statement: [Another Level, includesSong, I Wanna Be Your Man]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: I Wanna Be Your Man
Context triple: [Another Level, includesSong, I Wanna Be Your Man]
  • A. I Wanna Be Your Man chosen
    "I Wanna Be Your Man" is a rock and roll song written by John Lennon and Paul McCartney that was recorded by both the Beatles and the Rolling Stones in the early 1960s.
  • B. I Want to Be Your Man
    "I Want to Be Your Man" is a 1987 R&B and funk ballad by Roger Troutman, known for its prominent use of the talk box and enduring popularity as one of his signature songs.
  • C. I'll Be Your Man
    "I'll Be Your Man" is a song by British singer-songwriter James Blunt from his 2010 studio album "Some Kind of Trouble."
  • D. Let Me Be Your Woman
    "Let Me Be Your Woman" is a 1979 disco and soul album by American singer Linda Clifford, showcasing her powerful vocals and blending dance-floor tracks with emotive ballads.
  • E. I'm Your Man
    "I'm Your Man" is a 1995 interactive short film notable for allowing theater audiences to influence the storyline in real time.
  • 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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677ea8a088190b2b37accd6b24277 completed April 20, 2026, 7 p.m.
Created at: April 16, 2026, 11:23 a.m.