Triple

T18359103
Position Surface form Disambiguated ID Type / Status
Subject Time (Electric Light Orchestra album) E439868 entity
Predicate hasPart P35 FINISHED
Object Hold On Tight 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: Hold On Tight | Statement: [Time (Electric Light Orchestra album), hasPart, Hold On Tight]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hold On Tight
Context triple: [Time (Electric Light Orchestra album), hasPart, Hold On Tight]
  • A. Hold On Tight chosen
    "Hold On Tight" is a 1981 rock and roll-inspired single by Electric Light Orchestra known for its upbeat tempo, retro style, and bilingual English-French lyrics.
  • B. Hold On Tight
    "Hold On Tight" is a pop song by British singer Samantha Fox, known for its upbeat, dance-oriented style characteristic of her late-1980s releases.
  • C. Hold Tight
    "Hold Tight" is a song featured on Justin Bieber's 2013 compilation album "Journals."
  • D. Holding On
    "Holding On" is a soulful jazz and R&B song by Gregory Porter, known for its rich vocals and emotive, socially conscious lyrics.
  • E. Holding On
    "Holding On" is a song featured on Jay Sean's debut studio album "Me Against Myself."
  • 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e516d9dba8819088c5d772e3ee670d completed April 19, 2026, 5:54 p.m.
Created at: April 10, 2026, 10:37 a.m.