Triple

T4453499
Position Surface form Disambiguated ID Type / Status
Subject Help! E97668 entity
Predicate titleTrackOf P8087 FINISHED
Object Help! (album) E439816 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: Help! (album) | Statement: [Help!, titleTrackOf, Help! (album)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Help! (album)
Context triple: [Help!, titleTrackOf, Help! (album)]
  • A. Help! (album) chosen
    Help! (album) is the Beatles’ 1965 studio album that served as the soundtrack to their film of the same name and features songs like “Help!” and “Yesterday.”
  • B. Help! (film)
    Help! is a 1965 British musical comedy film starring The Beatles, featuring Ringo Starr at the center of a zany adventure involving a sacrificial ring and a series of absurd escapades.
  • C. Help! (film soundtrack)
    Help! (film soundtrack) is the 1965 album by the Beatles that serves as the soundtrack to their film "Help!", featuring songs like the title track and "Ticket to Ride."
  • D. Heaven Help Us All
    "Heaven Help Us All" is a socially conscious soul song written by Ron Miller and most famously recorded by Stevie Wonder in 1970.
  • E. Raising Hell
    Raising Hell is a landmark 1986 hip-hop album by Run-D.M.C. that helped bring rap music into the mainstream and solidified the genre’s commercial and cultural impact.
  • 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_69b3454777808190b78aa9047ba1f018 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355f49dc081908727af81b886c08d completed March 13, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6281cef58819095182f8c89fe6e59 completed March 15, 2026, 3:31 a.m.
Created at: March 12, 2026, 11:33 p.m.