Triple

T18149820
Position Surface form Disambiguated ID Type / Status
Subject 22 Dreams E434475 entity
Predicate hasPart P35 FINISHED
Object Invisible 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: Invisible | Statement: [22 Dreams, hasPart, Invisible]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Invisible
Context triple: [22 Dreams, hasPart, Invisible]
  • A. Invisible
    Invisible is a 2009 novel by Paul Auster that follows a young aspiring poet whose life is irrevocably altered by a chance encounter with a mysterious couple in 1967 New York, exploring themes of identity, memory, and narrative unreliability.
  • B. Invisible
    "Invisible" is a posthumously released pop song by American singer Christina Grimmie that showcases her powerful vocals and emotive style.
  • C. Invisible chosen
    "Invisible" is a track from will.i.am's 2007 pop and hip-hop album *Songs About Girls*.
  • D. Invisibly
    Invisibly is a data and advertising technology company that aims to give consumers control over their personal data and how it is monetized.
  • E. Almost Invisible
    Almost Invisible is a late collection of brief, surreal, and often humorous prose poems by American poet Mark Strand.
  • 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_69d8b90aac308190801e2c57d8c5bfe5 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de3812e8819097f025476d5c6a1d completed April 19, 2026, 1:52 p.m.
Created at: April 10, 2026, 10:29 a.m.